netron/test/models.json

[
  {
    "type":   "armnn",
    "target": "ssd_mobilenet_v3_small_coco_2019_08_14.armnn",
    "source": "https://raw.githubusercontent.com/ARM-software/armnn/master/samples/serialized/ssd_mobilenet_v3_small_coco_2019_08_14.armnn",
    "format": "Arm NN",
    "link":   "https://github.com/ARM-software/armnn"
  },
  {
    "type":   "armnn",
    "target": "ssd_mobilenet_v3_small_coco_2019_08_14_q8.armnn",
    "source": "https://github.com/lutzroeder/netron/files/3839429/samples.zip[ssd_mobilenet_v3_small_coco_2019_08_14_q8.armnn]",
    "format": "Arm NN",
    "link":   "https://github.com/ARM-software/armnn"
  },
  {
    "type":   "armnn",
    "target": "ssd_mobilenet_v3_small_coco_2019_08_14_q16.armnn",
    "source": "https://github.com/lutzroeder/netron/files/3839429/samples.zip[ssd_mobilenet_v3_small_coco_2019_08_14_q16.armnn]",
    "format": "Arm NN",
    "link":   "https://github.com/ARM-software/armnn"
  },
  {
    "type":   "bigdl",
    "target": "analytics-zoo_alexnet-quantize_imagenet_0.1.0.model",
    "source": "https://s3-ap-southeast-1.amazonaws.com/analytics-zoo-models/imageclassification/imagenet/analytics-zoo_alexnet-quantize_imagenet_0.1.0.model",
    "format": "BigDL",
    "link":   "https://analytics-zoo.github.io/master/#ProgrammingGuide/image-classification"
  },
  {
    "type":   "bigdl",
    "target": "analytics-zoo_inception-v3_imagenet_0.1.0.model",
    "source": "https://analytics-zoo-models.s3-ap-southeast-1.amazonaws.com/analytics-zoo_inception-v3_imagenet_0.1.0.model",
    "format": "BigDL",
    "link":   "https://analytics-zoo.github.io/master/#ProgrammingGuide/image-classification"
  },
  {
    "type":   "bigdl",
    "target": "analytics-zoo_mobilenet-v2_imagenet_0.1.0.model",
    "source": "https://analytics-zoo-models.s3-ap-southeast-1.amazonaws.com/analytics-zoo_mobilenet-v2_imagenet_0.1.0.model",
    "format": "BigDL",
    "link":   "https://analytics-zoo.github.io/master/#ProgrammingGuide/image-classification"
  },
  {
    "type":   "bigdl",
    "target": "analytics-zoo_ssd-mobilenet-300x300_PASCAL_0.1.0.model",
    "source": "https://s3-ap-southeast-1.amazonaws.com/analytics-zoo-models/object-detection/analytics-zoo_ssd-mobilenet-300x300_PASCAL_0.1.0.model",
    "format": "BigDL",
    "link":   "https://analytics-zoo.github.io/master/#ProgrammingGuide/object-detection"
  },
  {
    "type":   "bigdl",
    "target": "bigdl_inception-v1_imagenet_0.4.0.model",
    "source": "https://s3-ap-southeast-1.amazonaws.com/bigdl-models/imageclassification/imagenet/bigdl_inception-v1_imagenet_0.4.0.model",
    "format": "BigDL",
    "link":   "https://github.com/intel-analytics/analytics-zoo/tree/master/pyzoo/zoo/examples/nnframes/imageTransferLearning"
  },
  {
    "type":   "bigdl",
    "target": "bigdl_messi_quantize.model",
    "source": "https://s3-ap-southeast-1.amazonaws.com/bigdl-models/object-detection/bigdl_messi_quantize.model",
    "format": "BigDL",
    "link":   "https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=2ahUKEwisj6SS1sDlAhWRsJ4KHU1jCPAQFjAAegQIABAB&url=https%3A%2F%2Fcode.ihub.org.cn%2Fprojects%2F224%2Frepository%2Fcommit_diff%3Fchangeset%3Dad9908ee94c150af026b0be07a7d35dea071cf15&usg=AOvVaw3jUiipbdKKG6pDJs_Z7_kE"
  },
  {
    "type":   "caffe",
    "target": "1D_lstm.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/1D_lstm.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "age_net.caffemodel",
    "source": "https://raw.githubusercontent.com/eveningglow/age-and-gender-classification/master/model/age_net.caffemodel",
    "format": "Caffe v1",
    "link":   "https://github.com/eveningglow/age-and-gender-classification"
  },
  {
    "type":   "caffe",
    "target": "alexnet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/alexnet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "AlexNet_SalObjSub.caffemodel",
    "source": "http://www.cs.bu.edu/groups/ivc/data/SOS/AlexNet_SalObjSub.caffemodel",
    "format": "Caffe v1",
    "link":   "https://github.com/natanielruiz/net-archive/tree/master/salient-object-alexnet"
  },
  {
    "type":   "caffe",
    "target": "AlexNet_SalObjSub_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/natanielruiz/net-archive/master/salient-object-alexnet/deploy.prototxt",
    "format": "Caffe v1",
    "link":   "https://github.com/natanielruiz/net-archive/tree/master/salient-object-alexnet"
  },
  {
    "type":   "caffe",
    "target": "bvlc_alexnet.caffemodel",
    "source": "http://dl.caffe.berkeleyvision.org/bvlc_alexnet.caffemodel",
    "format": "Caffe v1",
    "link":   "https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet"
  },
  {
    "type":   "caffe",
    "target": "bvlc_caffenet_full_conv.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/examples/net_surgery/bvlc_caffenet_full_conv.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/tree/master/examples/net_surgery"
  },
  {
    "type":   "caffe",
    "target": "bvlc_alexnet_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet"
  },
  {
    "type":   "caffe",
    "target": "bvlc_googlenet.caffemodel",
    "source": "http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel",
    "format": "Caffe v1",
    "link":   "https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet"
  },
  {
    "type":   "caffe",
    "target": "bvlc_reference_caffenet.caffemodel",
    "source": "http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel",
    "format": "Caffe v1",
    "link":   "https://github.com/BVLC/caffe/tree/master/models/bvlc_reference_caffenet"
  },
  {
    "type":   "caffe",
    "target": "caffe_array.prototxt",
    "source": "https://github.com/lutzroeder/netron/files/3288816/caffe_examples.zip[caffe_array.prototxt]",
    "format": "Caffe v2",
    "link":   "https://github.com/lutzroeder/netron/issues/276"
  },
  {
    "type":   "caffe",
    "target": "caffe_invalid_file.caffemodel",
    "source": "https://github.com/lutzroeder/netron/files/3288816/caffe_examples.zip[caffe_invalid_file.caffemodel]",
    "error":  "File format is not caffe.NetParameter (invalid wire type 4 at offset 11) in 'caffe_invalid_file.caffemodel'.",
    "link":   "https://github.com/lutzroeder/netron/issues/276"
  },
  {
    "type":   "caffe",
    "target": "caffe_invalid_semicolon.prototxt",
    "source": "https://github.com/lutzroeder/netron/files/3288816/caffe_examples.zip[caffe_invalid_semicolon.prototxt]",
    "error":  "File text format is not caffe.NetParameter (Unexpected token ';' at 7:18) in 'caffe_invalid_semicolon.prototxt'.",
    "link":   "https://github.com/lutzroeder/netron/issues/276"
  },
  {
    "type":   "caffe",
    "target": "caffe_semicolon.prototxt",
    "source": "https://github.com/lutzroeder/netron/files/3288816/caffe_examples.zip[caffe_semicolon.prototxt]",
    "format": "Caffe v2",
    "link":   "https://github.com/lutzroeder/netron/issues/276"
  },
  {
    "type":   "caffe",
    "target": "caffenet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/caffenet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "cifar10_full_sigmoid_solver_bn.prototxt,cifar10_full_sigmoid_train_test_bn.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/examples/cifar10/cifar10_full_sigmoid_solver_bn.prototxt,https://raw.githubusercontent.com/BVLC/caffe/master/examples/cifar10/cifar10_full_sigmoid_train_test_bn.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/tree/master/examples/cifar10"
  },
  {
    "type":   "caffe",
    "target": "cityscapes_713_pspnet.prototxt",
    "source": "https://gist.githubusercontent.com/meetshah1995/6bfb59e6a3cfcb4e2bb8d47f827c2928/raw/cd1ea0091d6f9b40530d3390dad41fed60bd02aa/cityscapes_713_pspnet.prototxt",
    "format": "Caffe v2",
    "link":   "https://gist.github.com/meetshah1995/6bfb59e6a3cfcb4e2bb8d47f827c2928"
  },
  {
    "type":   "caffe",
    "target": "conv.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/examples/net_surgery/conv.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/tree/master/examples/net_surgery"
  },
  {
    "type":   "caffe",
    "target": "deepyeast.caffemodel",
    "source": "https://kodu.ut.ee/~leopoldp/2016_DeepYeast/code/caffe_model/HOwt_png_vgg_A_bn_iter_130000.caffemodel",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/wiki/Model-Zoo#deepyeast"
  },
  {
    "type":   "caffe",
    "target": "DenseNet_121.prototxt",
    "source": "https://raw.githubusercontent.com/shicai/DenseNet-Caffe/master/DenseNet_121.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/DenseNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "DenseNet_161.prototxt",
    "source": "https://raw.githubusercontent.com/shicai/DenseNet-Caffe/master/DenseNet_161.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/DenseNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "DenseNet_169.prototxt",
    "source": "https://raw.githubusercontent.com/shicai/DenseNet-Caffe/master/DenseNet_169.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/DenseNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "DenseNet_169.prototxt",
    "source": "https://raw.githubusercontent.com/shicai/DenseNet-Caffe/master/DenseNet_169.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/DenseNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "deploy_iResNet_ROB.tpl.prototxt",
    "source": "https://raw.githubusercontent.com/leonzfa/iResNet/master/models/model/deploy_iResNet_ROB.tpl.prototxt",
    "error":  "File text format is not caffe.NetParameter (Couldn't parse float '$SCALE_WIDTH' at 727:59) in 'deploy_iResNet_ROB.tpl.prototxt'.",
    "link":   "https://github.com/leonzfa/iResNet"
  },
  {
    "type":   "caffe",
    "target": "faster_rcnn_train_test_21cls.pt",
    "source": "https://raw.githubusercontent.com/sanghoon/pva-faster-rcnn/master/models/pvanet/pva9.1/faster_rcnn_train_test_21cls.pt",
    "format": "Caffe v2",
    "link":   "https://github.com/sanghoon/pva-faster-rcnn"
  },
  {
    "type":   "caffe",
    "target": "fasterRCNN_AlexNet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_AlexNet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "fasterRCNN_ResNet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_ResNet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "fasterRCNN_VGG.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_VGG.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "fasterRCNN_ZynqNet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_ZynqNet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "fcn-16s.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fcn-16s.prototxt",
    "format": "Caffe v1",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "fcn32s-heavy-pascal.caffemodel",
    "source": "http://dl.caffe.berkeleyvision.org/fcn32s-heavy-pascal.caffemodel",
    "format": "Caffe v2",
    "link":   "https://github.com/shelhamer/fcn.berkeleyvision.org"
  },
  {
    "type":   "caffe",
    "target": "fcn-8s-pascal-deploy.prototxt",
    "source": "https://raw.githubusercontent.com/HyeonwooNoh/DeconvNet/master/model/FCN/fcn-8s-pascal-deploy.prototxt",
    "format": "Caffe v1",
    "link":   "https://github.com/HyeonwooNoh/DeconvNet"
  },
  {
    "type":   "caffe",
    "target": "finetune_flickr_style.caffemodel",
    "source": "http://dl.caffe.berkeleyvision.org/finetune_flickr_style.caffemodel",
    "format": "Caffe v1",
    "link":   "https://github.com/BVLC/caffe/tree/master/models/finetune_flickr_style"
  },
  {
    "type":   "caffe",
    "target": "googlenet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/googlenet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "googlelet_places205_train_iter_2400000.caffemodel",
    "source": "http://places.csail.mit.edu/model/googlenet_places205.tar.gz[googlenet_places205/googlelet_places205_train_iter_2400000.caffemodel]",
    "format": "Caffe v2",
    "link":   "http://places.csail.mit.edu/downloadCNN.html"
  },
  {
    "type":   "caffe",
    "target": "inceptionv3.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv3.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "inceptionv3_orig.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv3_orig.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "inceptionv4.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv4.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "inceptionv4_resnet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv4_resnet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "inceptionv4_resnet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv4_resnet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "lenet_consolidated_solver.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/examples/mnist/lenet_consolidated_solver.prototxt",
    "format": "Caffe v1",
    "link":   "https://github.com/BVLC/caffe/tree/master/examples/mnist"
  },
  {
    "type":   "caffe",
    "target": "lenet.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/examples/mnist/lenet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/tree/master/examples/mnist"
  },
  {
    "type":   "caffe",
    "target": "linreg.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/examples/pycaffe/linreg.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/tree/master/examples/pycaffe"
  },
  {
    "type":   "caffe",
    "target": "lstm.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/lstm.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "mobilenet.caffemodel",
    "source": "https://raw.githubusercontent.com/shicai/MobileNet-Caffe/master/mobilenet.caffemodel",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/MobileNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "mobilenet_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/shicai/MobileNet-Caffe/master/mobilenet_deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/MobileNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "mobilenet_yolov3_lite_train.prototxt",
    "source": "https://raw.githubusercontent.com/eric612/Caffe-YOLOv3-Windows/master/models/yolov3/mobilenet_yolov3_lite_train.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/eric612/Caffe-YOLOv3-Windows"
  },
  {
    "type":   "caffe",
    "target": "mobilenet_yolov3_solver.prototxt,mobilenet_yolov3_train.prototxt",
    "source": "https://raw.githubusercontent.com/eric612/Caffe-YOLOv3-Windows/master/models/yolov3/mobilenet_yolov3_solver.prototxt,https://raw.githubusercontent.com/eric612/Caffe-YOLOv3-Windows/master/models/yolov3/mobilenet_yolov3_train.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/eric612/Caffe-YOLOv3-Windows"
  },
  {
    "type":   "caffe",
    "target": "mobilenet_v2.caffemodel",
    "source": "https://raw.githubusercontent.com/shicai/MobileNet-Caffe/master/mobilenet_v2.caffemodel",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/MobileNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "mobilenet_v2_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/shicai/MobileNet-Caffe/master/mobilenet_v2_deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/MobileNet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "MobileNetSSD_train.prototxt",
    "source": "https://github.com/lutzroeder/netron/files/3771164/MobileNetSSD_train.prototxt.txt",
    "format": "Caffe v2",
    "link":   "https://github.com/lutzroeder/netron/issues/358"
  },
  {
    "type":   "caffe",
    "target": "mnist_siamese_solver.prototxt,mnist_siamese_train_test.prototxt",
    "source": "https://raw.githubusercontent.com/BVLC/caffe/master/examples/siamese/mnist_siamese_solver.prototxt,https://raw.githubusercontent.com/BVLC/caffe/master/examples/siamese/mnist_siamese_train_test.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/BVLC/caffe/tree/master/examples/siamese"
  },
  {
    "type":   "caffe",
    "target": "netron_issue_306.prototxt",
    "source": "https://github.com/lutzroeder/netron/files/3440457/netron_issue_306.zip[netron_issue_306.pbtxt]",
    "format": "Caffe v2",
    "link":   "https://github.com/lutzroeder/netron/issues/306"
  },
  {
    "type":   "caffe",
    "target": "nin.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/nin.prototxt",
    "format": "Caffe v1",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "ORION_extended_trainval.prototxt",
    "source": "https://raw.githubusercontent.com/lmb-freiburg/orion/master/net_archs/modelnet10/ORION_extended_trainval.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/lmb-freiburg/orion"
  },
  {
    "type":   "caffe",
    "target": "panoramic_object_detection_deploy_crop.prototxt.prototxt",
    "source": "https://raw.githubusercontent.com/gdlg/panoramic-object-detection/master/examples/inference/deploy_crop.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/gdlg/panoramic-object-detection/tree/master/examples/inference"
  },
  {
    "type":   "caffe",
    "target": "pose_iter_584000.caffemodel",
    "source": "http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/body_25/pose_iter_584000.caffemodel",
    "format": "Caffe v2",
    "link":   "https://github.com/CMU-Perceptual-Computing-Lab/openpose"
  },
  {
    "type":   "caffe",
    "target": "ResNet-18-deploy.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/ResNet-18-deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "ResNet-34.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/ResNet-34.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "resnet-50.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/resnet-50.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "ResNet-50-model.caffemodel",
    "source": "https://deepdetect.com/models/resnet/ResNet-50-model.caffemodel",
    "format": "Caffe v2",
    "link":   "https://deepdetect.com/models/resnet/"
  },
  {
    "type":   "caffe",
    "target": "ResNet-50-deploy.prototxt",
    "source": "https://deepdetect.com/models/resnet/ResNet-50-deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://deepdetect.com/models/resnet/"
  },
  {
    "type":   "caffe",
    "target": "ResNet-50_merged.qconv.winograd.cwl.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/ResNet-50_merged.qconv.winograd.cwl.prototxt",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "ResNet-152-model.caffemodel",
    "source": "https://deepdetect.com/models/resnet/ResNet-152-model.caffemodel",
    "format": "Caffe v2",
    "link":   "https://deepdetect.com/models/resnet/"
  },
  {
    "type":   "caffe",
    "target": "ResNet-152-deploy.prototxt",
    "source": "https://deepdetect.com/models/resnet/ResNet-152-deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://deepdetect.com/models/resnet/"
  },
  {
    "type":   "caffe",
    "target": "resnet-152.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/resnet-152.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },  
  {
    "type":   "caffe",
    "target": "s2s_vgg_pstream_allvocab_fac2_iter_16000.caffemodel",
    "source": "https://www.dropbox.com/s/raw/wn6k2oqurxzt6e2/s2s_vgg_pstream_allvocab_fac2_iter_16000.caffemodel",
    "error":  "File format is not caffe.NetParameter (invalid wire type 6 at offset 124546861) in 's2s_vgg_pstream_allvocab_fac2_iter_16000.caffemodel'.",
    "format": "Caffe v1",
    "link":   "https://github.com/truongthanhdat/Video2Text"
  },
  {
    "type":   "caffe",
    "target": "seq2seq_train_ep7_tar.prototxt",
    "source": "https://raw.githubusercontent.com/jasjeetIM/Seq2Seq/master/models/s2s/train_ep7_tar.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/jasjeetIM/Seq2Seq"
  },
  {
    "type":   "caffe",
    "target": "se_resnet_50_v1_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/shicai/SENet-Caffe/master/se_resnet_50_v1_deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/shicai/SENet-Caffe"
  },
  {
    "type":   "caffe",
    "target": "segnet_basic_inference.prototxt",
    "source": "https://raw.githubusercontent.com/alexgkendall/SegNet-Tutorial/master/Models/segnet_basic_inference.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/alexgkendall/SegNet-Tutorial"
  },
  {
    "type":   "caffe",
    "target": "shufflenet_1x_g3_train.prototxt",
    "source": "https://raw.githubusercontent.com/Ewenwan/ShuffleNet-2/master/shufflenet_1x_g3_train.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/Ewenwan/ShuffleNet-2"
  },
  {
    "type":   "caffe",
    "target": "squeezenet_v1.1.caffemodel",
    "source": "https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.1/squeezenet_v1.1.caffemodel",
    "format": "Caffe v2",
    "link":   "https://github.com/DeepScale/SqueezeNet"
  },
  {
    "type":   "caffe",
    "target": "sq11b2a_e3.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/sq11b2a_e3.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "squeezenet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/squeezenet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "squeezenet_v11.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/squeezenet_v11.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "ssd_16nodes_512_batch_train.prototxt",
    "source": "https://raw.githubusercontent.com/intel/caffe/master/models/intel_optimized_models/multinode/ssd_16nodes_512_batch/train.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/intel/caffe"
  },
  {
    "type":   "caffe",
    "target": "SSD300.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/SSD300.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "tsn_bn_inception_flow_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/yjxiong/temporal-segment-networks/master/models/hmdb51/tsn_bn_inception_flow_deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/yjxiong/temporal-segment-networks"
  },
  {
    "type":   "caffe",
    "target": "vanillaCNN.caffemodel",
    "source": "https://raw.githubusercontent.com/ishay2b/VanillaCNN/master/ZOO/vanillaCNN.caffemodel",
    "format": "Caffe v2",
    "link":   "https://gist.github.com/ishay2b/58248e5f3c3bf575ac40"
  },
  {
    "type":   "caffe",
    "target": "vgg-16.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/vgg-16.prototxt",
    "format": "Caffe v1",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "VGG_CNN_M_2048_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/natanielruiz/net-archive/master/vgg_cnn_m_2048/VGG_CNN_M_2048_deploy.prototxt",
    "format": "Caffe v1",
    "link":   "https://github.com/natanielruiz/net-archive"
  },
  {
    "type":   "caffe",
    "target": "VGG_VOC0712Plus_SSD_300x300_ft_deploy.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/VGG_VOC0712Plus_SSD_300x300_ft_deploy.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "VGG_ILSVRC_19_layers.caffemodel",
    "source": "http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_19_layers.caffemodel",
    "format": "Caffe v1"
  },
  {
    "type":   "caffe",
    "target": "YOLO.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/YOLO.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe",
    "target": "yolov3-tiny.prototxt",
    "source": "https://raw.githubusercontent.com/eric612/MobileNet-YOLO/master/models/darknet_yolov3/yolov3-tiny.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/eric612/MobileNet-YOLO/tree/master/models/darknet_yolov3"
  },
  {
    "type":   "caffe",
    "target": "yolov3-spp.prototxt",
    "source": "https://raw.githubusercontent.com/eric612/MobileNet-YOLO/master/models/darknet_yolov3/yolov3-spp.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/eric612/MobileNet-YOLO/tree/master/models/darknet_yolov3"
  },
  {
    "type":   "caffe",
    "target": "zynqnet.prototxt",
    "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/zynqnet.prototxt",
    "format": "Caffe v2",
    "link":   "https://github.com/cwlacewe/netscope"
  },
  {
    "type":   "caffe2",
    "target": "bvlc_alexnet/predict_net.pb,bvlc_alexnet/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/bvlc_alexnet/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/bvlc_alexnet/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "bvlc_alexnet/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/bvlc_alexnet/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "bvlc_alexnet/predict_net.pbtxt,bvlc_alexnet/init_net.pb",
    "source": "https://raw.githubusercontent.com/caffe2/models/master/bvlc_alexnet/predict_net.pbtxt,https://s3.amazonaws.com/download.caffe2.ai/models/bvlc_alexnet/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "bvlc_googlenet/predict_net.pb,bvlc_googlenet/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/bvlc_googlenet/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/bvlc_googlenet/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "densenet121/predict_net.pb,densenet121/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/densenet121/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/densenet121/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "e2e_faster_rcnn_R-50-C4_1x/predict_net.pb,e2e_faster_rcnn_R-50-C4_1x/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/detectron/e2e_faster_rcnn_R-50-C4_1x/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/detectron/e2e_faster_rcnn_R-50-C4_1x/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "FBNet-A-int8/model.pbtxt,FBNet-A-int8/model_init.pb",
    "source": "https://dl.fbaipublicfiles.com/fbnet/models/FBNet_caffe2.zip[FBNet/FBNet-A/int8/model.pbtxt,FBNet/FBNet-A/int8/model_init.pb]",
    "format": "Caffe2",
    "link":   "https://github.com/facebookresearch/mobile-vision"
  },
  {
    "type":   "caffe2",
    "target": "generalized_rcnn/net.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/2801714/net.pbtxt.txt",
    "format": "Caffe2",
    "render": "skip",
    "link":   "https://github.com/lutzroeder/netron/issues/223"
  },
  {
    "type":   "caffe2",
    "target": "generalized_rcnn/predict_net.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/2802044/predict_net.pbtxt.txt",
    "format": "Caffe2",
    "link":   "https://github.com/lutzroeder/netron/issues/223"
  },
  {
    "type":   "caffe2",
    "target": "inception_v2/predict_net.pb,inception_v2/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/inception_v2/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/inception_v2/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "lenet/predict_net.pbtxt,lenet/init_net.pbtxt",
    "source": "https://raw.githubusercontent.com/jolibrain/deepdetect/master/templates/caffe2/lenet/predict_net.pbtxt,https://raw.githubusercontent.com/jolibrain/deepdetect/master/templates/caffe2/lenet/init_net.pbtxt",
    "format": "Caffe2",
    "link":   "https://github.com/jolibrain/deepdetect/tree/master/templates/caffe2"
  },
  {
    "type":   "caffe2",
    "target": "mask_rcnn_2go/model.pbtxt",
    "source": "https://raw.githubusercontent.com/caffe2/models/master/mask_rcnn_2go/model/fp32/model.pbtxt",
    "format": "Caffe2",
    "link":   "https://github.com/lutzroeder/netron/issues/168"
  },
  {
    "type":   "caffe2",
    "target": "mobilenet_v2/predict_net.pb,mobilenet_v2/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/mobilenet_v2/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/mobilenet_v2/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "mobilenet_v2/predict_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/mobilenet_v2/predict_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "mobilenet_v2_quantized/predict_net.pb,mobilenet_v2_quantized/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/mobilenet_v2_1.0_224_quant/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/mobilenet_v2_1.0_224_quant/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "resnet50_quantized/resnet50_quantized_predict_net.pb,resnet50_quantized/resnet50_quantized_init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/resnet50_quantized/resnet50_quantized_predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/resnet50_quantized/resnet50_quantized_init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models/tree/master/resnet50_quantized"
  },
  {
    "type":   "caffe2",
    "target": "onnx_while/predict_net.pb,onnx_while/inits_net.pb",
    "source": "https://github.com/lutzroeder/netron/files/2522635/onnxwhile.zip[predict_net.pb,init_net.pb]",
    "format": "Caffe2",
    "link":   "https://github.com/lutzroeder/netron/issues/168"
  },
  {
    "type":   "caffe2",
    "target": "ops/ops.pbtxt",
    "source": "https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/core/ops/ops.pbtxt",
    "error":  "Unsupported file content (6f70207b0a20206e616d653a20224162) for extension '.pbtxt' in 'ops.pbtxt'.",
    "link":   "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/ops.pbtxt"
  },
  {
    "type":   "caffe2",
    "target": "resnet50/predict_net.pb,resnet50/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/resnet50/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/resnet50/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "squeezenet/squeezenet.pb,squeezenet/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/squeezenet/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/squeezenet/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "caffe2",
    "target": "vgg19/predict_net.pb,vgg19/init_net.pb",
    "source": "https://s3.amazonaws.com/download.caffe2.ai/models/vgg19/predict_net.pb,https://s3.amazonaws.com/download.caffe2.ai/models/vgg19/init_net.pb",
    "format": "Caffe2",
    "link":   "https://github.com/caffe2/models"
  },
  {
    "type":   "chainer",
    "target": "generator_model.h5",
    "source": "https://raw.githubusercontent.com/mattya/chainer-DCGAN/master/generator_model.h5",
    "format": "Chainer HDF5",
    "link":   "https://github.com/mattya/chainer-DCGAN"
  },
  {
    "type":   "chainer",
    "target": "mlp.h5",
    "source": "https://github.com/lutzroeder/netron/files/3666244/mlp.zip[mlp.h5]",
    "format": "Chainer HDF5",
    "link":   "https://github.com/lutzroeder/netron/issues/337"
  },
  {
    "type":   "chainer",
    "target": "mlp.npz",
    "source": "https://github.com/lutzroeder/netron/files/3666244/mlp.zip[mlp.npz]",
    "format": "Chainer NumPy",
    "link":   "https://github.com/lutzroeder/netron/issues/337"
  },
  {
    "type":   "cntk",
    "target": "v1/01_OneHidden.dnn",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tests/UnitTests/NetworkTests/Models/01_OneHidden.dnn",
    "format": "CNTK v1.18",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v1/AlexNet.model",
    "source": "https://www.cntk.ai/Models/AlexNet/AlexNet.model",
    "format": "CNTK v1.14"
  },
  {
    "type":   "cntk",
    "target": "v1/AlexNetBS.model",
    "source": "https://www.cntk.ai/Models/AlexNet/AlexNetBS.model",
    "format": "CNTK v1.15"
  },
  {
    "type":   "cntk",
    "target": "v1/cifar10.pretrained.cmf",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tutorials/ImageHandsOn/cifar10.pretrained.cmf",
    "format": "CNTK v1.14",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v1/cifar10.ResNet.cmf",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tutorials/ImageHandsOn/cifar10.ResNet.cmf",
    "format": "CNTK v1.10",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v1/cntkSpeechFF.dnn",
    "source": "https://github.com/lutzroeder/netron/files/3243442/cntkSpeechFF.dnn.zip[cntkSpeechFF.dnn]",
    "format": "CNTK v1.31",
    "link":   "https://github.com/lutzroeder/netron/issues/153"
  },
  {
    "type":   "cntk",
    "target": "v1/ResNet_18.model",
    "source": "https://www.cntk.ai/Models/ResNet/ResNet_18.model",
    "format": "CNTK v1.17"
  },
  {
    "type":   "cntk",
    "target": "v1/Fast-RCNN.model",
    "source": "https://www.cntk.ai/Models/FRCN_Pascal/Fast-RCNN.model",
    "format": "CNTK v1.15",
    "link":   "https://github.com/Microsoft/CNTK/blob/7c838d3b6c448004e5a06aa00c984a629f880416/PretrainedModels/download_model.py"
  },
  {
    "type":   "cntk",
    "target": "v1/Fast-RCNN_grocery100.model",
    "source": "https://www.cntk.ai/Models/FRCN_Grocery/Fast-RCNN_grocery100.model",
    "format": "CNTK v1.15",
    "link":   "https://github.com/Microsoft/CNTK/blob/7c838d3b6c448004e5a06aa00c984a629f880416/PretrainedModels/download_model.py"
  },
  {
    "type":   "cntk",
    "target": "v1/ResNet20_CIFAR10_DataAug.dnn",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tests/UnitTests/NetworkTests/Models/ResNet20_CIFAR10_DataAug.dnn",
    "format": "CNTK v1.18",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v1/slu.forward.backward.cmf",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tutorials/SLUHandsOn/slu.forward.backward.cmf",
    "format": "CNTK v1.14",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v1/slu.forward.cmf",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tutorials/SLUHandsOn/slu.forward.cmf",
    "format": "CNTK v1.14",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v1/slu.forward.nobn.cmf",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tutorials/SLUHandsOn/slu.forward.nobn.cmf",
    "format": "CNTK v1.14",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v1/slu.forward.lookahead.cmf",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/Tutorials/SLUHandsOn/slu.forward.lookahead.cmf",
    "format": "CNTK v1.14",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v2/AlexNet_ImageNet_Caffe.model",
    "source": "https://www.cntk.ai/Models/Caffe_Converted/AlexNet_ImageNet_Caffe.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/download_model.py"
  },
  {
    "type":   "cntk",
    "target": "v2/AlexNet_ImageNet_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/AlexNet_ImageNet_CNTK.model"
  },
  {
    "type":   "cntk",
    "target": "v2/Bean.cntk",
    "source": "https://media.githubusercontent.com/media/Microsoft/ELL-models/master/models/ILSVRC2012/Bean/Bean.cntk.zip[Bean.cntk]",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/ELL-models"
  },
  {
    "type":   "cntk",
    "target": "v2/BNInception_ImageNet_Caffe.model",
    "source": "https://www.cntk.ai/Models/Caffe_Converted/BNInception_ImageNet_Caffe.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/download_model.py"
  },
  {
    "type":   "cntk",
    "target": "v2/Chalta.model",
    "source": "https://media.githubusercontent.com/media/Microsoft/ELL-models/master/models/ILSVRC2012/Chalta/Chalta.cntk.zip[Chalta.cntk]",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/ELL-models"
  },
  {
    "type":   "cntk",
    "target": "v2/d_I160x160x3CMCMCMCMCMCMC1AS.model",
    "source": "https://media.githubusercontent.com/media/Microsoft/ELL-models/master/models/ILSVRC2012/d_I160x160x3CMCMCMCMCMCMC1AS/d_I160x160x3CMCMCMCMCMCMC1AS.cntk.zip[d_I160x160x3CMCMCMCMCMCMC1AS.cntk]",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/ELL-models/tree/master/models/ILSVRC2012/d_I160x160x3CMCMCMCMCMCMC1AS"
  },
  {
    "type":   "cntk",
    "target": "v2/DRNN.model",
    "source": "https://www.cntk.ai/Models/SuperResolution/DRNN.model",
    "format": "CNTK v2",
    "link":   "https://cntk.ai/pythondocs/CNTK_302A_Evaluation_of_Pretrained_Super-resolution_Models.html"
  },
  {
    "type":   "cntk",
    "target": "v2/initial_policy_network.dnn",
    "source": "https://raw.githubusercontent.com/Microsoft/CNTK/master/bindings/python/cntk/contrib/deeprl/tests/data/initial_policy_network.dnn",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK"
  },
  {
    "type":   "cntk",
    "target": "v2/InceptionV3_ImageNet_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/InceptionV3_ImageNet_CNTK.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/MMdnn/blob/master/mmdnn/conversion/examples/cntk/extract_model.py"
  },
  {
    "type":   "cntk",
    "target": "v2/mobilenetv2-1.0.dnn",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-mobilenet/mobilenetv2-1.0.model",
    "error":  "Unsupported file content (504b030414000000000092a2c64c1c0a) for extension '.dnn' in 'mobilenetv2-1.0.dnn'.",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet18_ImageNet_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet18_ImageNet_CNTK.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet20_CIFAR10_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet20_CIFAR10_CNTK.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet34_ImageNet_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet34_ImageNet_CNTK.model"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet50_ImageNet_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet50_ImageNet_CNTK.model"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet110_CIFAR10_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet110_CIFAR10_CNTK.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet101_ImageNet_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet101_ImageNet_CNTK.model",
    "format": "CNTK v2"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet101_ImageNet_Caffe.model",
    "source": "https://www.cntk.ai/Models/Caffe_Converted/ResNet101_ImageNet_Caffe.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet152_ImageNet_Caffe.model",
    "source": "https://www.cntk.ai/Models/Caffe_Converted/ResNet152_ImageNet_Caffe.model",
    "format": "CNTK v2",
    "link":   "https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md"
  },
  {
    "type":   "cntk",
    "target": "v2/ResNet152_ImageNet_CNTK.model",
    "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet152_ImageNet_CNTK.model"
  },
  {
    "type":   "cntk",
    "target": "v2/SRGAN.model",
    "source": "https://www.cntk.ai/Models/SuperResolution/SRGAN.model",
    "format": "CNTK v2",
    "link":   "https://cntk.ai/pythondocs/CNTK_302A_Evaluation_of_Pretrained_Super-resolution_Models.html"
  },
  {
    "type":   "cntk",
    "target": "v2/SRResNet.model",
    "source": "https://www.cntk.ai/Models/SuperResolution/SRResNet.model",
    "format": "CNTK v2",
    "link":   "https://cntk.ai/pythondocs/CNTK_302A_Evaluation_of_Pretrained_Super-resolution_Models.html"
  },
  {
    "type":   "cntk",
    "target": "v2/tutorial_103b_mnist.model",
    "source": "https://github.com/lutzroeder/netron/files/2591620/tutorial_models.zip[tutorial_103b_mnist.model]",
    "format": "CNTK v2",
    "link":   "https://github.com/lutzroeder/netron/issues/153"
  },
  {
    "type":   "cntk",
    "target": "v2/tutorial_103c_mnist.model",
    "source": "https://github.com/lutzroeder/netron/files/2591620/tutorial_models.zip[tutorial_103c_mnist.model]",
    "format": "CNTK v2",
    "link":   "https://github.com/lutzroeder/netron/issues/153"
  },
  {
    "type":   "cntk",
    "target": "v2/tutorial_103d_mnist.model",
    "source": "https://github.com/lutzroeder/netron/files/2591620/tutorial_models.zip[tutorial_103d_mnist.model]",
    "format": "CNTK v2",
    "link":   "https://github.com/lutzroeder/netron/issues/153"
  },
  {
    "type":   "cntk",
    "target": "v2/tutorial_106a_lstm.model",
    "source": "https://github.com/lutzroeder/netron/files/2591620/tutorial_models.zip[tutorial_106a_lstm.model]",
    "format": "CNTK v2",
    "link":   "https://github.com/lutzroeder/netron/issues/153"
  },
  {
    "type":   "cntk",
    "target": "v2/VGG16_ImageNet_Caffe.model",
    "source": "https://www.cntk.ai/Models/Caffe_Converted/VGG16_ImageNet_Caffe.model"
  },
  {
    "type":   "cntk",
    "target": "v2/VGG19_ImageNet_Caffe.model",
    "source": "https://www.cntk.ai/Models/Caffe_Converted/VGG19_ImageNet_Caffe.model"
  },
  {
    "type":   "cntk",
    "target": "v2/VDSR.model",
    "source": "https://www.cntk.ai/Models/SuperResolution/VDSR.model",
    "format": "CNTK v2",
    "link":   "https://cntk.ai/pythondocs/CNTK_302A_Evaluation_of_Pretrained_Super-resolution_Models.html"
  },
  {
    "type":   "coreml",
    "target": "BERTSQUADFP16.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Text/QuestionAnswering/BERT_SQUAD/BERTSQUADFP16.mlmodel",
    "format": "Core ML v4",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "CarClassifier.mlmodel",
    "source": "https://raw.githubusercontent.com/PZ1Sharer05/CreateMLmodels/master/CarClassifier.mlmodel",
    "format": "Core ML v1",
    "link":   "https://github.com/PZ1Sharer05/CreateMLmodels"
  },
  {
    "type":   "coreml",
    "target": "DocumentClassification.mlmodel",
    "source": "https://raw.githubusercontent.com/toddkramer/DocumentClassifier/master/Sources/DocumentClassification.mlmodel",
    "format": "Core ML v1",
    "link":   "https://github.com/toddkramer/DocumentClassifier"
  },
  {
    "type":   "coreml",
    "target": "DeepLabV3.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/ImageSegmentation/DeepLabV3/DeepLabV3.mlmodel",
    "format": "Core ML v3",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "EnvSceneClassification.mlmodel",
    "source": "https://raw.githubusercontent.com/anujdutt9/iOS-Audio-Classification/cdf5b72dc351a83168369d0afbd0eeba9ecae448/RealTimeSoundClassifier/RealTimeSoundClassifier/EnvSceneClassification.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/anujdutt9/iOS-Audio-Classification"
  },
  {
    "type":   "coreml",
    "target": "coreml_invalid_file.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3219681/coreml_invalid_file.mlmodel.zip",
    "error":  "File format is not coreml.Model (invalid wire type 7 at offset 13) in 'coreml_invalid_file.mlmodel'.",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "Exermote.mlmodel",
    "source": "https://raw.githubusercontent.com/Lausbert/Exermote/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel",
    "format": "Core ML v1"
  },
  {
    "type":   "coreml",
    "target": "faces_model.mlmodel",
    "source": "https://github.com/NovaTecConsulting/FaceRecognition-in-ARKit/files/1526806/faces_model.mlmodel.zip[faces_model.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/NovaTecConsulting/FaceRecognition-in-ARKit/issues/3"
  },
  {
    "type":   "coreml",
    "target": "FCRNFP16.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/DepthEstimation/FCRN/FCRNFP16.mlmodel",
    "format": "Core ML v2",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "float16.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/2382815/model.zip[model.mlmodel]",
    "format": "Core ML v2",
    "link":   "https://github.com/lutzroeder/netron/issues/149"
  },
  {
    "type":   "coreml",
    "target": "FNS-Candy.mlmodel",
    "source": "https://raw.githubusercontent.com/ileafsolutions/StyleArt/master/StyleArt/CoreMLModels/FNS-Candy.mlmodel",
    "link":   "https://github.com/ileafsolutions/StyleArt"
  },
  {
    "type":   "coreml",
    "target": "food.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food.mlmodel",
    "format": "Core ML v1",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_1.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_1.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_2.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_2.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_3.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_3.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_4.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_4.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_5.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_5.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_6.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_6.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_7.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_7.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_8.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_8.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_kmeans_16.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_kmeans_16.mlmodel",
    "format": "Core ML v2",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_1.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_1.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_2.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_2.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_3.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_3.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_4.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_4.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_5.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_5.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_6.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_6.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_7.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_7.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_8.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_8.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_16.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_16.mlmodel",
    "format": "Core ML v2",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_1.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_1.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_2.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_2.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_3.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_3.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_4.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_4.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_5.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_5.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_6.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_6.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_7.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_7.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_8.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_8.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "food_linear_lut_16.mlmodel",
    "source": "https://raw.githubusercontent.com/kingreza/quantization/master/food_linear_lut_16.mlmodel",
    "format": "Core ML v2",
    "link":   "https://github.com/kingreza/quantization"
  },
  {
    "type":   "coreml",
    "target": "GoogLeNetPlaces.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/GoogLeNetPlaces.mlmodel"
  },
  {
    "type":   "coreml",
    "target": "HED_so.mlmodel",
    "source": "https://raw.githubusercontent.com/s1ddok/HED-CoreML/master/HED-CoreML/Models/HED_so.mlmodel",
    "link":   "https://github.com/s1ddok/HED-CoreML"
  },
  {
    "type":   "coreml",
    "target": "HED_so3.mlmodel",
    "source": "https://raw.githubusercontent.com/s1ddok/HED-CoreML/master/HED-CoreML/Models/HED_so3.mlmodel",
    "link":   "https://github.com/s1ddok/HED-CoreML"
  },
  {
    "type":   "coreml",
    "target": "HED_fuse.mlmodel",
    "source": "https://raw.githubusercontent.com/s1ddok/HED-CoreML/master/HED-CoreML/Models/HED_fuse.mlmodel",
    "link":   "https://github.com/s1ddok/HED-CoreML"
  },
  {
    "type":   "coreml",
    "target": "imdb_lstm.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/2591614/imdb_lstm.mlmodel.zip[imdb_lstm.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/149"
  },
  {
    "type":   "coreml",
    "target": "imdb_bidirectional_lstm.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/2591615/imdb_bidirectional_lstm.mlmodel.zip[imdb_bidirectional_lstm.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/149"
  },
  {
    "type":   "coreml",
    "target": "Inceptionv3.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Inceptionv3.mlmodel"
  },
  {
    "type":   "coreml",
    "target": "invalid_git_lfs.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/4432767/invalid_git_lfs.mlmodel.zip[invalid_git_lfs.mlmodel]",
    "error":  "Invalid file content. File contains Git LFS header.",
    "link":   "https://github.com/lutzroeder/netron/issues/458"
  },
  {
    "type":   "coreml",
    "target": "invalid_html.mlmodel.zip",
    "source": "https://github.com/lutzroeder/netron/files/4432768/invalid_html.mlmodel.zip",
    "error":  "Invalid file content. File contains HTML markup.",
    "link":   "https://github.com/lutzroeder/netron/issues/458"
  },
  {
    "type":   "coreml",
    "target": "iris.mlmodel",
    "source": "https://raw.githubusercontent.com/gavi/Iris/master/Iris/iris.mlmodel",
    "format": "Core ML v1",
    "link":   "https://github.com/gavi/Iris"
  },
  {
    "type":   "coreml",
    "target": "MessageClassifier.mlmodel",
    "source": "https://raw.githubusercontent.com/llSourcell/A_guide_to_coreML/master/MessageClassifier.mlmodel",
    "link":   "https://github.com/llSourcell/A_guide_to_coreML"
  },
  {
    "type":   "coreml",
    "target": "MNIST.mlmodel",
    "source": "https://github.com/ph1ps/MNIST-CoreML/raw/master/MNISTPrediction/MNIST.mlmodel",
    "link":   "https://github.com/SwiftBrain/awesome-CoreML-models"
  },
  {
    "type":   "coreml",
    "target": "MNISTClassifier.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/DrawingClassification/MNISTClassifier/MNISTClassifier.mlmodel",
    "format": "Core ML v1",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "MobileNet.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/MobileNet.mlmodel"
  },
  {
    "type":   "coreml",
    "target": "mobilenet_v2_1.4_224.mlmodel",
    "source": "https://github.com/tf-coreml/tf-coreml/files/2575260/mobilenet_v2_1.4_224.mlmodel.zip[mobilenet_v2_1.4_224.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/tf-coreml/tf-coreml/issues/252"
  },
  {
    "type":   "coreml",
    "target": "MovieRecommender.mlmodel",
    "source": "https://raw.githubusercontent.com/anupamchugh/iowncode/master/CoreMLRecommender/CoreMLRecommender/MovieRecommender.mlmodel",
    "format": "Core ML v4",
    "link":   "https://github.com/anupamchugh/iowncode/tree/master/CoreMLRecommender"
  },
  {
    "type":   "coreml",
    "target": "NamesDT.mlmodel",
    "source": "https://github.com/cocoa-ai/NamesCoreMLDemo/raw/master/Names/Resources/NamesDT.mlmodel",
    "link":   "https://github.com/SwiftBrain/awesome-CoreML-models"
  },
  {
    "type":   "coreml",
    "target": "onehot_simple.mlmodel",
    "source": "https://raw.githubusercontent.com/onnx/onnxmltools/master/tests/data/onehot_simple.mlmodel",
    "link":   "https://github.com/onnx/onnxmltools/tree/master/tests/data"
  },
  {
    "type":   "coreml",
    "target": "PoseEstimationForMobile.mlmodel",
    "source": "https://raw.githubusercontent.com/edvardHua/PoseEstimationForMobile/master/release/cpm_model/model.mlmodel",
    "format": "Core ML v1",
    "link":   "https://github.com/edvardHua/PoseEstimationForMobile"
  },
  {
    "type":   "coreml",
    "target": "ProductTagger.mlmodel",
    "source": "https://raw.githubusercontent.com/aidev1065/CustomEntityRecognition/master/ProductTagger.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/aidev1065/CustomEntityRecognition"
  },
  {
    "type":   "coreml",
    "target": "ProgrammingLanguageClassifier.mlmodel",
    "source": "https://raw.githubusercontent.com/Flight-School/Programming-Language-Classifier/master/ProgrammingLanguageClassifier.mlmodel",
    "format": "Core ML v3",
    "link":   "https://github.com/Flight-School/Programming-Language-Classifier"
  },
  {
    "type":   "coreml",
    "target": "ReadTheRoom.mlmodel",
    "source": "https://raw.githubusercontent.com/CapTechMobile/blogfest-coreml/d8e8c15d33e9591c9e81cb18e5ea4b2fb6972503/ReadTheRoom/ReadTheRoom.mlmodel",
    "format": "Core ML v4",
    "link":   "https://github.com/CapTechMobile/blogfest-coreml"
  },
  {
    "type":   "coreml",
    "target": "Resnet50.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Resnet50.mlmodel"
  },
  {
    "type":   "coreml",
    "target": "SentimentPolarity.mlmodel",
    "source": "https://github.com/cocoa-ai/SentimentCoreMLDemo/raw/master/SentimentPolarity/Resources/SentimentPolarity.mlmodel",
    "link":   "https://github.com/SwiftBrain/awesome-CoreML-models"
  },
  {
    "type":   "coreml",
    "target": "sentiment_model.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/2591618/sentiment_model.mlmodel.zip[sentiment_model.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/149"
  },
  {
    "type":   "coreml",
    "target": "SqueezeNet.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/ImageClassification/SqueezeNet/SqueezeNet.mlmodel",
    "format": "Core ML v1",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "SqueezeNetFP16.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/ImageClassification/SqueezeNet/SqueezeNetFP16.mlmodel",
    "format": "Core ML v2",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "SqueezeNetInt8LUT.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/ImageClassification/SqueezeNet/SqueezeNetInt8LUT.mlmodel",
    "format": "Core ML v3",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "test_categorical_imputer.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_categorical_imputer.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_keras_embedding_model.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_keras_embedding_model.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_linear_regressor.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_linear_regressor.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_normalizer_boston.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_normalizer_boston.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_normalizer_random.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_normalizer_random.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_one_hot_encoder_many_columns.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_one_hot_encoder_many_columns.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_one_hot_encoder_one_column_of_several.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_one_hot_encoder_one_column_of_several.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_one_hot_encoder_pipeline.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_one_hot_encoder_pipeline.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_random_forest_classifier.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_random_forest_classifier.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_random_forest_regressor.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_random_forest_regressor.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_support_vector_classifier.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_support_vector_classifier.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_support_vector_regressor.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_support_vector_regressor.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "test_tree_regressor.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3268269/coreml_models.zip[test_tree_regressor.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "TinyDrawingEmbedding.mlmodel",
    "source": "https://github.com/apple/coremltools/raw/master/examples/updatable_models/models/TinyDrawingEmbedding.mlmodel",
    "link":   "https://github.com/apple/coremltools"
  },
  {
    "type":   "coreml",
    "target": "TinyYOLO.mlmodel",
    "source": "https://raw.githubusercontent.com/hollance/YOLO-CoreML-MPSNNGraph/master/TinyYOLO-CoreML/TinyYOLO-CoreML/TinyYOLO.mlmodel"
  },
  {
    "type":   "coreml",
    "target": "UpdatableKNN.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3424578/UpdatableKNN.zip[UpdatableKNN.mlmodel]",
    "format": "Core ML v4",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "UpdatableMNISTDigitClassifier.mlmodel",
    "source": "https://github.com/lutzroeder/netron/files/3424579/UpdatableMNISTDigitClassifier.zip[UpdatableMNISTDigitClassifier.mlmodel]",
    "format": "Core ML v1",
    "link":   "https://github.com/lutzroeder/netron/issues/193"
  },
  {
    "type":   "coreml",
    "target": "VGG16.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/VGG16.mlmodel"
  },
  {
    "type":   "coreml",
    "target": "wave.mlmodel",
    "source": "https://raw.githubusercontent.com/UnusualWolf/coreML/master/StyleArt-master/StyleArt/CoreMLModels/wave.mlmodel",
    "format": "Core ML v1",
    "link":   "https://github.com/UnusualWolf/coreML"
  },
  {
    "type":   "coreml",
    "target": "YOLOv3.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/ObjectDetection/YOLOv3/YOLOv3.mlmodel",
    "format": "Core ML v3",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "coreml",
    "target": "YOLOv3Tiny.mlmodel",
    "source": "https://docs-assets.developer.apple.com/coreml/models/Image/ObjectDetection/YOLOv3Tiny/YOLOv3Tiny.mlmodel",
    "format": "Core ML v3",
    "link":   "https://developer.apple.com/machine-learning/models"
  },
  {
    "type":   "darknet",
    "target": "alexnet.cfg,alexnet.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/alexnet.cfg,https://pjreddie.com/media/files/alexnet.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/imagenet"
  },
  {
    "type":   "darknet",
    "target": "csresnext50-panet-spp.cfg",
    "source": "https://raw.githubusercontent.com/WongKinYiu/CrossStagePartialNetworks/master/cfg/csresnext50-panet-spp.cfg",
    "format": "Darknet",
    "link":   "https://github.com/lutzroeder/netron/issues/381"
  },
  {
    "type":   "darknet",
    "target": "darknet_invalid_file.cfg",
    "source": "https://github.com/lutzroeder/netron/files/3219696/darknet_invalid_file.cfg.zip[darknet_invalid_file.cfg]",
    "error":  "Invalid cfg 'xxxx' at line 4 in 'darknet_invalid_file.cfg'.",
    "link":   "https://github.com/lutzroeder/netron/issues/277"
  },
  {
    "type":   "darknet",
    "target": "darknet53_448.cfg,darknet53_448.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/darknet53_448.cfg,https://pjreddie.com/media/files/darknet53_448.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/imagenet"
  },
  {
    "type":   "darknet",
    "target": "enet-coco.cfg",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/enet-coco.cfg",
    "format": "Darknet",
    "link":   "https://github.com/lutzroeder/netron/issues/381"
  },
  {
    "type":   "darknet",
    "target": "face_small_3.cfg",
    "source": "https://raw.githubusercontent.com/zlmo/Face-Detection/master/cfg/face_small_3.cfg",
    "format": "Darknet",
    "link":   "https://github.com/zlmo/Face-Detection"
  },
  {
    "type":   "darknet",
    "target": "Gaussian_yolov3_BDD.cfg",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/Gaussian_yolov3_BDD.cfg",
    "format": "Darknet",
    "link":   "https://github.com/AlexeyAB/darknet"
  },
  {
    "type":   "darknet",
    "target": "go.cfg,go.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/go.cfg,https://pjreddie.com/media/files/go.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/darkgo-go-in-darknet"
  },
  {
    "type":   "darknet",
    "target": "grrm.cfg,grrm.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/rnn.cfg,https://pjreddie.com/media/files/grrm.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/rnns-in-darknet"
  },
  {
    "type":   "darknet",
    "target": "gru.cfg,gru.weights",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/gru.cfg",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet"
  },
  {
    "type":   "darknet",
    "target": "jnet-conv.cfg,jnet-conv.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/jnet-conv.cfg,https://pjreddie.com/media/files/jnet-conv.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/nightmare"
  },
  {
    "type":   "darknet",
    "target": "lstm.train.cfg",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/lstm.train.cfg",
    "format": "Darknet",
    "link":   "https://github.com/AlexeyAB/darknet"
  },
  {
    "type":   "darknet",
    "target": "mixnet_m_gpu.cfg",
    "source": "https://github.com/lutzroeder/netron/files/3935529/mixnet_m_gpu.cfg.txt",
    "format": "Darknet",
    "link":   "https://github.com/lutzroeder/netron/issues/381"
  },
  {
    "type":   "darknet",
    "target": "resnet18.cfg,resnet18.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/resnet18.cfg,https://pjreddie.com/media/files/resnet18.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/imagenet"
  },
  {
    "type":   "darknet",
    "target": "resnet152.cfg,resnet152.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/resnet152.cfg,https://pjreddie.com/media/files/resnet152.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/imagenet"
  },
  {
    "type":   "darknet",
    "target": "tiny.cfg,tiny.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/tiny.cfg,https://pjreddie.com/media/files/tiny.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/tiny-darknet"
  },
  {
    "type":   "darknet",
    "target": "yolo-coco.cfg",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov1/yolo-coco.cfg",
    "format": "Darknet",
    "link":   "https://github.com/AlexeyAB/darknet"
  },
  {
    "type":   "darknet",
    "target": "yolo-voc.cfg",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolo-voc.cfg",
    "format": "Darknet",
    "link":   "https://github.com/AlexeyAB/darknet"
  },
  {
    "type":   "darknet",
    "target": "yolo.cfg",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolo.cfg",
    "format": "Darknet",
    "link":   "https://github.com/AlexeyAB/darknet"
  },
  {
    "type":   "darknet",
    "target": "yolo_v3_tiny_pan3_aa_ae_mixup_scale_giou.cfg",
    "source": "https://github.com/lutzroeder/netron/files/4006371/yolo_v3_tiny_pan3_aa_ae_mixup_scale_giou.cfg.zip[yolo_v3_tiny_pan3_aa_ae_mixup_scale_giou.cfg]",
    "format": "Darknet",
    "link":   "https://github.com/lutzroeder/netron/issues/277"
  },
  {
    "type":   "darknet",
    "target": "yolov3-openimages.cfg,yolov3-openimages.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3-openimages.cfg,https://pjreddie.com/media/files/yolov3-openimages.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/yolo"
  },
  {
    "type":   "darknet",
    "target": "yolov3-spp.cfg,yolov3-spp.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3-spp.cfg,https://pjreddie.com/media/files/yolov3-spp.weights",
    "format": "Darknet",
    "link":   "https://pjreddie.com/darknet/yolo"
  },
  {
    "type":   "darknet",
    "target": "yolov3-tiny.cfg,yolov3-tiny.weights",
    "source": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3-tiny.cfg,https://pjreddie.com/media/files/yolov3-tiny.weights",
    "format": "Darknet",
    "link":   "https://github.com/AlexeyAB/darknet"
  },
  {
    "type":   "darknet",
    "target": "yolov3-tiny_3l_shortcut_multilayer_per_feature_softmax.cfg",
    "source": "https://github.com/lutzroeder/netron/files/4074756/yolov3-tiny_3l_shortcut_multilayer_per_feature_softmax.cfg.zip[yolov3-tiny_3l_shortcut_multilayer_per_feature_softmax.cfg]",
    "format": "Darknet",
    "link":   "https://github.com/lutzroeder/netron/issues/410"
  },
  {
    "type":   "darknet",
    "target": "yolov3_1088x608.cfg",
    "source": "https://github.com/lutzroeder/netron/files/4391007/yolov3_1088x608.cfg.zip[yolov3_1088x608.cfg]",
    "format": "Darknet",
    "link":   "https://github.com/lutzroeder/netron/issues/277"
  },
  {
    "type":   "darknet",
    "target": "yolo9000.cfg",
    "source": "https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolo9000.cfg",
    "format": "Darknet",
    "link":   "https://github.com/AlexeyAB/darknet"
  },
  {
    "type":   "dl4j",
    "target": "darknet19_dl4j_inference.v2.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/darknet19_dl4j_inference.v2.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "lenet_dl4j_mnist_inference.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/lenet_dl4j_mnist_inference.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "nasnetmobile_dl4j_inference.v1.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/nasnetmobile_dl4j_inference.v1.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "resnet50_dl4j_inference.v3.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/resnet50_dl4j_inference.v3.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "squeezenet_dl4j_inference.v2.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/squeezenet_dl4j_inference.v2.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "tiny-yolo-voc_dl4j_inference.v2.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/tiny-yolo-voc_dl4j_inference.v2.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "unet_dl4j_segment_inference.v1.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/unet_dl4j_segment_inference.v1.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "vgg19_dl4j_inference.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/vgg19_dl4j_inference.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "xception_dl4j_inference.v2.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/xception_dl4j_inference.v2.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "dl4j",
    "target": "yolo2_dl4j_inference.v3.zip",
    "source": "https://dl4jdata.blob.core.windows.net/models/yolo2_dl4j_inference.v3.zip",
    "format": "Deeplearning4j",
    "link":   "https://github.com/eclipse/deeplearning4j"
  },
  {
    "type":   "flux",
    "target": "helloworld.bson",
    "source": "https://github.com/lutzroeder/netron/files/3638212/helloworld.zip[helloworld.bson]",
    "format": "Flux",
    "link":   "https://github.com/lutzroeder/netron/issues/334"
  },
  {
    "type":   "keras",
    "target": "babi_rnn.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[babi_rnn.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "bidirectional_lstm.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[bidirectional_lstm.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "cats_and_dogs_small_1.h5",
    "source": "https://raw.githubusercontent.com/wwells/CUNY_DATA_698/master/DL_Coursework/DLR/cats_and_dogs_small_1.h5",
    "format": "Keras v2.1.5",
    "link":   "https://github.com/wwells/CUNY_DATA_698/tree/master/DL_Coursework/DLR"
  },
  {
    "type":   "keras",
    "target": "cats_and_dogs_small_2.h5",
    "source": "https://raw.githubusercontent.com/kylehamilton/deep-learning-with-r-notebooks/master/cats_and_dogs_small_2.h5",
    "format": "Keras v2.0.9",
    "link":   "https://github.com/kylehamilton/deep-learning-with-r-notebooks"
  },
  {
    "type":   "keras",
    "target": "cats_and_dogs_2_activation.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[cats_and_dogs_2_activation.h5]",
    "format": "Keras v2.1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "CNN_SN_flaw1_v1.h5",
    "source": "https://github.com/lutzroeder/netron/files/2452413/CNN_SN_flaw1_v1.h5.zip[CNN_SN_flaw1_v1.h5]",
    "format": "Keras v2.2.3",
    "link":   "https://github.com/lutzroeder/netron/issues/157"
  },
  {
    "type":   "keras",
    "target": "DenseNet121.h5",
    "link":   "https://keras.io/applications",
    "script": "./tools/keras sync install zoo"
  },
  {
    "type":   "keras",
    "target": "generating_images_with_vaes.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592326/generating_images_with_vaes.h5.zip[generating_images_with_vaes.h5]",
    "format": "Keras v2.1.3",
    "link":   "https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/8.4-generating-images-with-vaes.ipynb"
  },
  {
    "type":   "keras",
    "target": "imdb_embedding.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[imdb_embedding.h5]",
    "format": "Keras v2.1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "imdb_simplernn.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[imdb_simplernn.h5]",
    "format": "Keras v2.1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "InceptionResNetV2.h5",
    "link":   "https://keras.io/applications",
    "script": "./tools/keras sync install zoo"
  },
  {
    "type":   "keras",
    "target": "InceptionV3.h5",
    "link":   "https://keras.io/applications",
    "script": "./tools/keras sync install zoo"
  },
  {
    "type":   "keras",
    "target": "keras_invalid_file.h5",
    "source": "https://github.com/lutzroeder/netron/files/3364286/keras_invalid_file.zip[keras_invalid_file.h5]",
    "error":  "Unsupported file content (00000000000000000000000000000000) for extension '.h5' in 'keras_invalid_file.h5'.",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "lstm_seq2seq.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592328/lstm_seq2seq.zip[lstm_seq2seq.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "lstm_seq2seq.json",
    "source": "https://github.com/lutzroeder/netron/files/2592328/lstm_seq2seq.zip[lstm_seq2seq.json]  ",
    "format": "Keras",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "mimo.h5",
    "source": "https://github.com/lutzroeder/netron/files/2565761/mimo.h5.zip[mimo.h5]",
    "format": "Keras v2.2.0",
    "link":   "https://github.com/lutzroeder/netron/issues/138"
  },
  {
    "type":   "keras",
    "target": "mnist_float16.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592324/mnist.zip[mnist_float16.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "mnist_float32.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592324/mnist.zip[mnist_float32.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "mnist_float64.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592324/mnist.zip[mnist_float64.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "mobilenet.h5",
    "source": "https://raw.githubusercontent.com/aio-libs/aiohttp-demos/master/demos/imagetagger/tests/data/mobilenet.h5",
    "format": "Keras v2.2.2",
    "link":   "https://github.com/aio-libs/aiohttp-demos/tree/master/demos/imagetagger/tests/data"
  },
  {
    "type":   "keras",
    "target": "MobileNetV2.h5",
    "link":   "https://keras.io/applications",
    "script": "./tools/keras sync install zoo"
  },
  {
    "type":   "keras",
    "target": "NASNetMobile.h5",
    "link":   "https://keras.io/applications",
    "script": "./tools/keras sync install zoo"
  },
  {
    "type":   "keras",
    "target": "nested_bidrectional.h5",
    "source": "https://github.com/lutzroeder/netron/files/4304644/nested_bidrectional.zip[nested_bidrectional.h5]",
    "format": "Keras v2.3.1",
    "link":   "https://github.com/lutzroeder/netron/issues/428"
  },
  {
    "type":   "keras",
    "target": "nested_bidrectional_weights.h5",
    "source": "https://github.com/lutzroeder/netron/files/4304644/nested_bidrectional.zip[nested_bidrectional_weights.h5]",
    "format": "Keras v2.3.1",
    "link":   "https://github.com/lutzroeder/netron/issues/428"
  },
  {
    "type":   "keras",
    "target": "netron_issue_326.json",
    "source": "https://github.com/lutzroeder/netron/files/3563087/netron_issue_326.zip[netron_issue_326.json]",
    "format": "Keras v2.2.4-tf",
    "link":   "https://github.com/lutzroeder/netron/issues/326"
  },
  {
    "type":   "keras",
    "target": "netron_issue_428.h5",
    "source": "https://github.com/lutzroeder/netron/files/4221535/netron_issue_428.zip[netron_issue_428.h5]",
    "format": "Keras v2.2.4-tf",
    "link":   "https://github.com/lutzroeder/netron/issues/428"
  },
  {
    "type":   "keras",
    "target": "netron_issue_435.h5",
    "source": "https://github.com/lutzroeder/netron/files/4269953/netron_issue_435.zip[netron_issue_435.h5]",
    "format": "Keras v2.2.4",
    "link":   "https://github.com/lutzroeder/netron/issues/435"
  },
  {
    "type":   "keras",
    "target": "nietzsche.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[nietzsche.h5]",
    "format": "Keras v2.1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "residual_cnn.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[residual_cnn.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "resnet50_weights_tf_dim_ordering_tf_kernels.h5",
    "source": "https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels.h5",
    "format": "Keras"
  },
  {
    "type":   "keras",
    "target": "sentiment_model.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[sentiment_model.h5]",
    "format": "Keras v2.1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "siamese_net.json",
    "source": "https://github.com/lutzroeder/netron/files/2592353/siamese_net.json.zip[siamese_net.json]",
    "format": "Keras",
    "link":   "https://github.com/lutzroeder/netron/issues/130"
  },
  {
    "type":   "keras",
    "target": "snapshot_parent_0097.h5",
    "source": "https://raw.githubusercontent.com/uber-research/deep-neuroevolution/master/visual_inspector/sample_data/mujoco/final_xy_bc/snapshots/snapshot_gen_0097/snapshot_parent_0097.h5",
    "error":  "File format is not Keras HDF5 in 'snapshot_parent_0097.h5'.\nFile format is not Chainer HDF5 in 'snapshot_parent_0097.h5'.",
    "link":   "https://github.com/uber-research/deep-neuroevolution"
  },
  {
    "type":   "keras",
    "target": "time_distributed.h5",
    "source": "https://github.com/lutzroeder/netron/files/2592329/keras_models.zip[time_distributed.h5]",
    "format": "Keras v2.1.2",
    "link":   "https://github.com/lutzroeder/netron/issues/57"
  },
  {
    "type":   "keras",
    "target": "tiny-yolo-voc.h5",
    "source": "https://raw.githubusercontent.com/hollance/YOLO-CoreML-MPSNNGraph/master/Convert/yad2k/model_data/tiny-yolo-voc.h5",
    "format": "Keras v1.2.2",
    "link":   "https://github.com/hollance/YOLO-CoreML-MPSNNGraph/tree/master/Convert/yad2k/model_data"
  },
  {
    "type":   "keras",
    "target": "tiramisu_fc_dense103_model.json",
    "source": "https://raw.githubusercontent.com/0bserver07/One-Hundred-Layers-Tiramisu/master/tiramisu_fc_dense103_model.json",
    "format": "Keras v2.0.2", "runtime": "tensorflow",
    "link":   "https://github.com/0bserver07/One-Hundred-Layers-Tiramisu"
  },
  {
    "type":   "keras",
    "target": "VGG19.h5",
    "link":   "https://keras.io/applications",
    "script": "./tools/keras sync install zoo"
  },
  {
    "type":   "mediapipe",
    "target": "clipped_images_from_file_at_24fps.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/graphs/media_sequence/clipped_images_from_file_at_24fps.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "mediapipe",
    "target": "face_detection_mobile_cpu.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/graphs/face_detection/face_detection_mobile_cpu.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "mediapipe",
    "target": "hand_detection_mobile.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/graphs/hand_tracking/hand_detection_mobile.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "mediapipe",
    "target": "hand_tracking_mobile.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/graphs/hand_tracking/hand_tracking_mobile.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "mediapipe",
    "target": "object_detection_desktop_live.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/examples/coral/graphs/object_detection_desktop_live.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "mediapipe",
    "target": "shoe_classic_occlusion_tracking.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/graphs/object_detection_3d/shoe_classic_occlusion_tracking.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/lutzroeder/netron/issues/444"
  },
  {
    "type":   "mediapipe",
    "target": "tvl1_flow_and_rgb_from_file.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/graphs/media_sequence/tvl1_flow_and_rgb_from_file.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "mediapipe",
    "target": "yt8m_dataset_model_inference.pbtxt",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/graphs/youtube8m/yt8m_dataset_model_inference.pbtxt",
    "format": "MediaPipe",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "mlnet",
    "target": "BinaryClassification_AutoML_SentimentModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/BinaryClassification_AutoML/SentimentAnalysis/MLModels/SentimentModel.zip",
    "format": "ML.NET v1.0.27701.1",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "BikeDemandForecasting.zip",
    "source": "https://github.com/lutzroeder/netron/files/4042150/MLModel.zip",
    "format": "ML.NET v1.4.28305.1",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "ep_model1.zip",
    "source": "https://github.com/lutzroeder/netron/files/4216033/ep_model1.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/lutzroeder/netron/issues/170"
  },
  {
    "type":   "mlnet",
    "target": "ep_model3.zip",
    "source": "https://github.com/lutzroeder/netron/files/4216304/ep_model3.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/lutzroeder/netron/issues/170"
  },
  {
    "type":   "mlnet",
    "target": "FastTreeModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/Regression_BikeSharingDemand/BikeSharingDemand/MLModels/FastTreeModel.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "FastTreeTweedieModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/Regression_BikeSharingDemand/BikeSharingDemand/MLModels/FastTreeTweedieModel.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "GitHubLabelerModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/end-to-end-apps/MulticlassClassification-GitHubLabeler/GitHubLabeler/MLModels/GitHubLabelerModel.zip",
    "format": "ML.NET v1.0.27701.1",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "ImageClassification.Predict.imageClassifier.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/DeepLearning_TensorFlowEstimator/ImageClassification.Predict/assets/inputs/MLNETModel/imageClassifier.zip",
    "format": "ML.NET v1.4.28230.4",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "IrisClassificationModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/MulticlassClassification_Iris/IrisClassification/MLModels/IrisClassificationModel.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "MovieRecommender_Model.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/end-to-end-apps/Recommendation-MovieRecommender/MovieRecommender_Model/Model/model.zip",
    "format": "ML.NET v1.4.28230.4",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "MLSentimentModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/end-to-end-apps/ScalableSentimentAnalysisBlazorWebApp/BlazorSentimentAnalysis.Server/ML/MLSentimentModel.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "ngram.zip",
    "source": "https://github.com/lutzroeder/netron/files/4216079/ngram.zip?raw=true",
    "format": "ML.NET v3.10.29.504",
    "link":   "https://github.com/lutzroeder/netron/issues/170"
  },
  {
    "type":   "mlnet",
    "target": "PoissonModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/Regression_BikeSharingDemand/BikeSharingDemand/MLModels/PoissonModel.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "product_month_fastTreeTweedie.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/end-to-end-apps/Forecasting-Sales/src/eShopDashboard/Forecast/ModelFiles/product_month_fastTreeTweedie.zip",
    "format": "ML.NET v1.3.28006.10",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "ProductSalesChangePointModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/end-to-end-apps/AnomalyDetection-Sales/SpikeDetectionE2EApp/MLModels/ProductSalesChangePointModel.zip",
    "format": "ML.NET v1.4.28305.1",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "ProductSalesSpikeModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/end-to-end-apps/AnomalyDetection-Sales/SpikeDetectionE2EApp/MLModels/ProductSalesSpikeModel.zip",
    "format": "ML.NET v1.4.28305.1",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "randomizedPca.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/AnomalyDetection_CreditCardFraudDetection/CreditCardFraudDetection.Predictor/assets/input/randomizedPca.zip",
    "format": "ML.NET v1.2.27902.10",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "retailClustering.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/Clustering_CustomerSegmentation/CustomerSegmentation.Train/assets/outputs/retailClustering.zip",
    "format": "ML.NET v1.0.27701.1",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "SDCAModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/Regression_BikeSharingDemand/BikeSharingDemand/MLModels/SDCAModel.zip",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "TaxiFareModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/master/samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/MLModels/TaxiFareModel.zip",
    "format": "ML.NET v1.0.27701.1",
    "link":   "https://github.com/dotnet/machinelearning-samples"
  },
  {
    "type":   "mlnet",
    "target": "termlookup_with_key.zip",
    "source": "https://github.com/lutzroeder/netron/files/4216237/termlookup_with_key.zip?raw=true",
    "format": "ML.NET v1.0.0.0",
    "link":   "https://github.com/lutzroeder/netron/issues/170"
  },
  {
    "type":   "mlnet",
    "target": "TinyYoloModel.zip",
    "source": "https://raw.githubusercontent.com/dotnet/machinelearning-samples/61b428c746f39069a9d1d92f9e0f819e6beb30f3/samples/csharp/end-to-end-apps/DeepLearning_ObjectDetection_Onnx/OnnxObjectDetectionE2EAPP/ML/MLNETModel/TinyYoloModel.zip",
    "format": "ML.NET v1.0.27701.1"
  },
  {
    "type":   "mnn",
    "target": "inception-v3.mnn",
    "source": "https://raw.githubusercontent.com/alibaba/MNN/master/benchmark/models/inception-v3.mnn",
    "format": "MNN v2",
    "link":   "https://github.com/alibaba/MNN"
  },
  {
    "type":   "mnn",
    "target": "mobilenet-v1-1.0.mnn",
    "source": "https://raw.githubusercontent.com/alibaba/MNN/master/benchmark/models/mobilenet-v1-1.0.mnn",
    "format": "MNN v2",
    "link":   "https://github.com/alibaba/MNN"
  },
  {
    "type":   "mnn",
    "target": "MobileNetV2_224.mnn",
    "source": "https://raw.githubusercontent.com/alibaba/MNN/master/benchmark/models/MobileNetV2_224.mnn",
    "format": "MNN v2",
    "link":   "https://github.com/alibaba/MNN"
  },
  {
    "type":   "mnn",
    "target": "resnet-v2-50.mnn",
    "source": "https://raw.githubusercontent.com/alibaba/MNN/master/benchmark/models/resnet-v2-50.mnn",
    "format": "MNN v2",
    "link":   "https://github.com/alibaba/MNN"
  },
  {
    "type":   "mnn",
    "target": "simple.mnn",
    "source": "https://github.com/lutzroeder/netron/files/3698466/simple.mnn.zip[simple.mnn]",
    "format": "MNN v2",
    "link":   "https://github.com/lutzroeder/netron/issues/341"
  },
  {
    "type":   "mnn",
    "target": "SqueezeNetV1.0.mnn",
    "source": "https://raw.githubusercontent.com/alibaba/MNN/master/benchmark/models/SqueezeNetV1.0.mnn",
    "format": "MNN v2",
    "link":   "https://github.com/alibaba/MNN"
  },
  {
    "type":   "mxnet",
    "target": "arcface-resnet100.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-arcface/arcface-resnet100.model",
    "format": "MXNet Model Server v0.2"
  },
  {
    "type":   "mxnet",
    "target": "bvlc_alexnet-symbol.json,bvlc_alexnet-0000.params",
    "source": "http://s3.amazonaws.com/store.carml.org/models/mxnet/bvlc_alexnet/bvlc_alexnet-symbol.json,http://s3.amazonaws.com/store.carml.org/models/mxnet/bvlc_alexnet/bvlc_alexnet-0000.params",
    "format": "MXNet v0.10.0",
    "link":   "https://github.com/rai-project/mxnet/blob/master/builtin_models/BVLC-AlexNet.yml"
  },
  {
    "type":   "mxnet",
    "target": "caffenet.model",
    "source": "https://s3.amazonaws.com/model-server/models/caffenet/caffenet.model",
    "format": "MXNet Model Server v0.1",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "caffenet.model",
    "source": "https://s3.amazonaws.com/model-server/models/caffenet/caffenet.model",
    "format": "MXNet Model Server v0.1",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "crepe.mar",
    "source": "https://s3.amazonaws.com/model-server/model_archive_1.0/crepe.mar",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "conv_weights_sharing.json",
    "source": "https://github.com/lutzroeder/netron/files/3016064/conv_weights_sharing.json.zip[conv_weights_sharing.json]",
    "format": "MXNet v1.3.0",
    "link":   "https://github.com/lutzroeder/netron/issues/245"
  },
  {
    "type":   "mxnet",
    "target": "deep3d-symbol.json",
    "source": "https://raw.githubusercontent.com/dmlc/mxnet-gtc-tutorial/master/deep3d/deep3d-symbol.json",
    "format": "MXNet",
    "link":   "https://github.com/dmlc/mxnet-gtc-tutorial/tree/master/deep3d"
  },
  {
    "type":   "mxnet",
    "target": "dpn68-symbol.json",
    "source": "http://s3.amazonaws.com/store.carml.org/models/mxnet/dpn68/dpn68-symbol.json",
    "format": "MXNet",
    "link":   "https://github.com/rai-project/mxnet/blob/master/builtin_models/DPN68.yml"
  },
  {
    "type":   "mxnet",
    "target": "ferplus.model",
    "source": "https://s3.amazonaws.com/model-server/models/FERPlus/ferplus.model",
    "format": "MXNet Model Server v0.2",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "inception_resnet_v2-symbol.json",
    "source": "https://raw.githubusercontent.com/soeaver/mxnet-model/master/cls/inception/inception_resnet_v2-symbol.json",
    "format": "MXNet v1.0.1",
    "link":   "https://github.com/soeaver/mxnet-model/tree/master/cls"
  },
  {
    "type":   "mxnet",
    "target": "inception_v1.model",
    "source": "https://s3.amazonaws.com/model-server/models/onnx-inception_v1/inception_v1.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "inception_v3-symbol.json",
    "source": "https://raw.githubusercontent.com/soeaver/mxnet-model/master/cls/inception/inception_v3-symbol.json",
    "format": "MXNet v0.11.0",
    "link":   "https://github.com/soeaver/mxnet-model/tree/master/cls"
  },
  {
    "type":   "mxnet",
    "target": "Inception-7-symbol.json",
    "source": "https://raw.githubusercontent.com/bzshang/yelp-photo-classification/master/mxnet_model/inception_v3/Inception-7-symbol.json",
    "format": "MXNet",
    "link":   "https://github.com/bzshang/yelp-photo-classification/tree/master/mxnet_model/inception_v3"
  },
  {
    "type":   "mxnet",
    "target": "Inception-BN.model",
    "source": "https://s3.amazonaws.com/model-server/models/inception-bn/Inception-BN.model"
  },
  {
    "type":   "mxnet",
    "target": "Inception-BN-0126.params,Inception-BN-symbol.json",
    "source": "http://data.mxnet.io/models/imagenet/inception-bn/Inception-BN-0126.params,http://data.mxnet.io/models/imagenet/inception-bn/Inception-BN-symbol.json",
    "format": "MXNet",
    "link":   "https://mxnet.apache.org/model_zoo/index.html"
  },
  {
    "type":   "mxnet",
    "target": "lstm_ptb.model",
    "source": "https://s3.amazonaws.com/model-server/models/lstm_ptb/lstm_ptb.model",
    "format": "MXNet Model Server v0.1",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "lstm_ptb-symbol.json",
    "source": "https://s3.amazonaws.com/model-server/models/lstm_ptb/lstm_ptb-symbol.json",
    "format": "MXNet v0.11.0",
    "link":   "https://github.com/awslabs/mxnet-model-server/tree/master/examples/lstm_ptb"
  },
  {
    "type":   "mxnet",
    "target": "mobilenet-v1-tvm.json",
    "source": "https://github.com/lutzroeder/netron/files/2636924/mobilenet-v1-tvm.json.zip[mobilenet-v1-tvm.json]",
    "format": "TVM",
    "link":   "https://github.com/lutzroeder/netron/issues/199"
  },
  {
    "type":   "mxnet",
    "target": "nin.model",
    "source": "https://s3.amazonaws.com/model-server/models/nin/nin.model",
    "format": "MXNet Model Server v0.1",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet-18.model",
    "source": "https://s3.amazonaws.com/model-server/models/resnet-18/resnet-18.model",
    "format": "MXNet Model Server v0.1",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet-50-0000.params",
    "source": "http://data.mxnet.io/models/imagenet/resnet/50-layers/resnet-50-0000.params",
    "format": "MXNet",
    "link":   "https://github.com/awslabs/deeplearning-benchmark/blob/master/image_classification/common/modelzoo.py"
  },
  {
    "type":   "mxnet",
    "target": "resnet-101-symbol.json",
    "source": "http://data.mxnet.io/models/imagenet/resnet/101-layers/resnet-101-symbol.json",
    "format": "MXNet",
    "link":   "https://github.com/awslabs/deeplearning-benchmark/blob/master/image_classification/common/modelzoo.py"
  },
  {
    "type":   "mxnet",
    "target": "resnet-152.model",
    "source": "https://s3.amazonaws.com/model-server/models/resnet-152/resnet-152.model",
    "format": "MXNet Model Server v0.1",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet-152-symbol.json",
    "source": "http://data.mxnet.io/models/imagenet/resnet/152-layers/resnet-152-symbol.json",
    "format": "MXNet",
    "link":   "https://github.com/awslabs/deeplearning-benchmark/blob/master/image_classification/common/modelzoo.py"
  },
  {
    "type":   "mxnet",
    "target": "resnet50_ssd_model.model",
    "source": "https://s3.amazonaws.com/model-server/models/resnet50_ssd/resnet50_ssd_model.model",
    "format": "MXNet Model Server v0.1",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "ResNet_DUC_HDC.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-duc/ResNet_DUC_HDC.model",
    "format": "MXNet Model Server v0.2",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "RN101-5k500-symbol.json,RN101-5k500-0000.params",
    "source": "https://s3.amazonaws.com/mmcommons-tutorial/models/RN101-5k500-symbol.json,https://s3.amazonaws.com/mmcommons-tutorial/models/RN101-5k500-0012.params",
    "format": "MXNet v0.9.4",
    "link":   "https://mxnet.apache.org/model_zoo/index.html"
  },
  {
    "type":   "mxnet",
    "target": "mobilenetv2-1.0.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-mobilenet/mobilenetv2-1.0.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet101v2.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet101v2.model",
    "format": "MXNet Model Server v0.2", "runtime": "MXNet v1.2.0",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet152v1.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet152v1.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet18v2.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet18v2.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet34v1.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet34v1.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet34v2.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet34v2.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet50v1.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet50v1.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnet50v2.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet50v2.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "resnext-101-64x4d.model",
    "source": "https://s3.amazonaws.com/model-server/models/resnext-101-64x4d/resnext-101-64x4d.model",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "squeezenet.model",
    "source": "https://s3.amazonaws.com/model-server/models/onnx-squeezenet/squeezenet.model"
  },
  {
    "type":   "mxnet",
    "target": "squeezenet_v1.1.model",
    "source": "https://s3.amazonaws.com/model-server/models/squeezenet_v1.1/squeezenet_v1.1.model"
  },
  {
    "type":   "mxnet",
    "target": "squeezenet_v1.1.mar",
    "source": "https://s3.amazonaws.com/model-server/model_archive_1.0/squeezenet_v1.1.mar",
    "format": "MXNet Model Archive v1.0",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "squeezenet_v1.1.zip",
    "source": "https://s3.amazonaws.com/model-server/model_archive_1.0/squeezenet_v1.1.mar",
    "format": "MXNet",
    "link":   "https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md"
  },
  {
    "type":   "mxnet",
    "target": "vgg16.mar",
    "source": "https://s3.amazonaws.com/model-server/model_archive_1.0/vgg16.mar"
  },
  {
    "type":   "mxnet",
    "target": "vgg16_bn.model",
    "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-vgg16_bn/vgg16_bn.model"
  },
  {
    "type":   "ncnn",
    "target": "centerface.param,centerface.bin",
    "source": "https://raw.githubusercontent.com/MirrorYuChen/ncnn_example/798f64b7d5f0b883e05cb994258d43658b0661b6/models/centerface.param,https://raw.githubusercontent.com/MirrorYuChen/ncnn_example/798f64b7d5f0b883e05cb994258d43658b0661b6/models/centerface.bin",
    "format": "ncnn",
    "link":   "https://github.com/MirrorYuChen/ncnn_example"
  },
  {
    "type":   "ncnn",
    "target": "darknet_yolov2.cfg.ncnn,darknet_yolov2.weights.ncnn",
    "source": "https://github.com/00liujj/gen-ncnn-models/raw/master/tests/darknet_yolov2.cfg.ncnn,https://github.com/00liujj/gen-ncnn-models/raw/master/tests/darknet_yolov2.weights.ncnn",
    "format": "ncnn",
    "link":   "https://github.com/00liujj/gen-ncnn-models"
  },
  {
    "type":   "ncnn",
    "target": "frozen.pb.cfg.ncnn,frozen.pb.weights.ncnn",
    "source": "https://github.com/00liujj/gen-ncnn-models/raw/master/tests/frozen.pb.cfg.ncnn,https://github.com/00liujj/gen-ncnn-models/raw/master/tests/frozen.pb.weights.ncnn",
    "format": "ncnn",
    "link":   "https://github.com/00liujj/gen-ncnn-models"
  },
  {
    "type":   "ncnn",
    "target": "googlenet.param",
    "source": "https://raw.githubusercontent.com/Tencent/ncnn/master/benchmark/googlenet.param",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "mnet-opt.param,mnet-opt.bin",
    "source": "https://raw.githubusercontent.com/MirrorYuChen/ncnn_example/798f64b7d5f0b883e05cb994258d43658b0661b6/models/mnet-opt.param,https://raw.githubusercontent.com/MirrorYuChen/ncnn_example/798f64b7d5f0b883e05cb994258d43658b0661b6/models/mnet-opt.bin",
    "format": "ncnn",
    "link":   "https://github.com/MirrorYuChen/ncnn_example"
  },
  {
    "type":   "ncnn",
    "target": "mobilefacenet.bin,mobilefacenet.param",
    "source": "https://raw.githubusercontent.com/GRAYKEY/mobilefacenet_ncnn/master/models/mobilefacenet.bin,https://raw.githubusercontent.com/GRAYKEY/mobilefacenet_ncnn/master/models/mobilefacenet.param",
    "format": "ncnn",
    "link":   "https://github.com/GRAYKEY/mobilefacenet_ncnn"
  },
  {
    "type":   "ncnn",
    "target": "mobilenetv2_yolov3.param",
    "source": "https://raw.githubusercontent.com/Tencent/ncnn/master/benchmark/mobilenetv2_yolov3.param",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "MobileNetSSD_deploy.param.bin,MobileNetSSD_deploy.bin",
    "source": "https://raw.githubusercontent.com/chehongshu/ncnnforandroid_objectiondetection_Mobilenetssd/master/MobileNetSSD_demo/app/src/main/assets/MobileNetSSD_deploy.param.bin,https://raw.githubusercontent.com/chehongshu/ncnnforandroid_objectiondetection_Mobilenetssd/master/MobileNetSSD_demo/app/src/main/assets/MobileNetSSD_deploy.bin",
    "format": "ncnn",
    "link":   "https://github.com/chehongshu/ncnnforandroid_objectiondetection_Mobilenetssd"
  },
  {
    "type":   "ncnn",
    "target": "ncnn_yolo2_det3.bin,ncnn_yolo2_det3.param",
    "source": "https://raw.githubusercontent.com/kyo055/ncnn_yolo2/master/models/det3.bin,https://raw.githubusercontent.com/kyo055/ncnn_yolo2/master/models/det3.param",
    "format": "ncnn",
    "link":   "https://github.com/kyo055/ncnn_yolo2"
  },
  {
    "type":   "ncnn",
    "target": "netron_issue_397.param",
    "source": "https://github.com/lutzroeder/netron/files/3981934/det.txt",
    "format": "ncnn",
    "link":   "https://github.com/lutzroeder/netron/issues/397"
  },
  {
    "type":   "ncnn",
    "target": "proxylessnasnet.param",
    "source": "https://raw.githubusercontent.com/Tencent/ncnn/master/benchmark/proxylessnasnet.param",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "resnet18_int8.param",
    "source": "https://raw.githubusercontent.com/Tencent/ncnn/master/benchmark/resnet18_int8.param",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "shufflenet.param",
    "source": "https://raw.githubusercontent.com/Tencent/ncnn/master/benchmark/shufflenet.param",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "squeezenet.param",
    "source": "https://raw.githubusercontent.com/Tencent/ncnn/master/benchmark/squeezenet.param",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "faces_wider_squeezenet.param,faces_wider_squeezenet.bin",
    "source": "https://deepdetect.com/models/init/embedded/images/detection/squeezenet_ssd_faces_ncnn.tar.gz[faces_wider_squeezenet.param,faces_wider_squeezenet.bin]",
    "format": "ncnn",
    "link":   "https://www.deepdetect.com/models/faces_embedded_ncnn"
  },
  {
    "type":   "ncnn",
    "target": "squeezenet_v1.1.param.bin,squeezenet_v1.1.bin",
    "source": "https://raw.githubusercontent.com/nihui/ncnn-android-squeezenet/master/app/src/main/assets/squeezenet_v1.1.param.bin,https://raw.githubusercontent.com/nihui/ncnn-android-squeezenet/master/app/src/main/assets/squeezenet_v1.1.bin",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "squeezenet_v1.1.bin",
    "source": "https://raw.githubusercontent.com/nihui/ncnn-android-squeezenet/master/app/src/main/assets/squeezenet_v1.1.bin",
    "error":  "File not found 'squeezenet_v1.1.param' in 'squeezenet_v1.1.bin'.",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "ncnn",
    "target": "vgg16.param",
    "source": "https://raw.githubusercontent.com/Tencent/ncnn/master/benchmark/vgg16.param",
    "format": "ncnn",
    "link":   "https://github.com/Tencent/ncnn"
  },
  {
    "type":   "onnx",
    "target": "arcface-resnet100.onnx",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/arcface/resnet100/resnet100.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/onnx/models/tree/master/models/face_recognition/ArcFace"
  },
  {
    "type":   "onnx",
    "target": "bidaf.onnx",
    "source": "https://onnxzoo.blob.core.windows.net/models/opset_9/bidaf/bidaf.onnx",
    "format": "ONNX v4", "producer": "CNTK 2.7",
    "link":   "https://github.com/onnx/models/tree/master/bidaf"
  },
  {
    "type":   "onnx",
    "target": "bertsquad-10.onnx",
    "source": "https://github.com/onnx/models/blob/master/text/machine_comprehension/bert-squad/model/bertsquad-10.onnx?raw=true",
    "format": "ONNX v5", "producer": "tf2onnx 1.5.2",
    "render": "skip",
    "link":   "https://github.com/onnx/models/blob/master/text/machine_comprehension/bert-squad/README.md"
  },
  {
    "type":   "onnx",
    "target": "bvlc_alexnet_opset_3.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_3/bvlc_alexnet.tar.gz[bvlc_alexnet/model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/bvlc_alexnet"
  },
  {
    "type":   "onnx",
    "target": "bvlc_alexnet_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/bvlc_alexnet.tar.gz[bvlc_alexnet/model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/bvlc_alexnet"
  },
  {
    "type":   "onnx",
    "target": "bvlc_googlenet_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/bvlc_googlenet.tar.gz[bvlc_googlenet/model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/bvlc_googlenet"
  },
  {
    "type":   "onnx",
    "target": "bvlc_reference_caffenet_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/bvlc_reference_caffenet.tar.gz[bvlc_reference_caffenet/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "bvlc_reference_rcnn_ilsvrc13_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/bvlc_reference_rcnn_ilsvrc13.tar.gz[bvlc_reference_rcnn_ilsvrc13/model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/bvlc_reference_rcnn_ilsvrc13"
  },
  {
    "type":   "onnx",
    "target": "candy.onnx",
    "source": "https://raw.githubusercontent.com/Microsoft/Windows-Machine-Learning/master/Samples/FNSCandyStyleTransfer/UWP/cs/Assets/candy.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/FNSCandyStyleTransfer/UWP/cs/Assets"
  },
  {
    "type":   "onnx",
    "target": "conv_autopad.onnx",
    "source": "https://raw.githubusercontent.com/microsoft/onnxruntime/master/onnxruntime/test/testdata/conv_autopad.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/testdata"
  },
  {
    "type":   "onnx",
    "target": "denotation_Add_ImageNet1920WithImageMetadataBgr8_SRGB_0_255.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2587943/onnx_denotation_models.zip[denotation_Add_ImageNet1920WithImageMetadataBgr8_SRGB_0_255.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/183"
  },
  {
    "type":   "onnx",
    "target": "denotation_Add_ImageNet1920WithImageMetadataBgra8_SRGB_0_255.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2587943/onnx_denotation_models.zip[denotation_Add_ImageNet1920WithImageMetadataBgra8_SRGB_0_255.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/183"
  },
  {
    "type":   "onnx",
    "target": "denotation_Add_ImageNet1920WithImageMetadataRgb8_SRGB_0_255.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2587943/onnx_denotation_models.zip[denotation_Add_ImageNet1920WithImageMetadataRgb8_SRGB_0_255.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/183"
  },
  {
    "type":   "onnx",
    "target": "denotation_Add_ImageNet1920WithImageMetadataRgba8_SRGB_0_255.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2587943/onnx_denotation_models.zip[denotation_Add_ImageNet1920WithImageMetadataRgba8_SRGB_0_255.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/183"
  },
  {
    "type":   "onnx",
    "target": "densenet121_opset_9.tar.gz",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/densenet121.tar.gz"
  },
  {
    "type":   "onnx",
    "target": "densenet121_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/densenet121.tar.gz[densenet121/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "DocumentClassification.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2592479/DocumentClassification.onnx.zip[DocumentClassification.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/188"
  },
  {
    "type":   "onnx",
    "target": "eisber_model3.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/4209090/eisber_model3.pbtxt.zip[eisber_model3.pbtxt]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/188"
  },
  {
    "type":   "onnx",
    "target": "Exermote.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2592478/Exermote.onnx.zip[Exermote.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/188"
  },
  {
    "type":   "onnx",
    "target": "emoji8.onnx",
    "source": "https://raw.githubusercontent.com/Microsoft/Windows-Machine-Learning/master/Samples/Emoji8/UWP/cs/Emoji8/Models/model.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/Emoji8/UWP/cs/Emoji8"
  },
  {
    "type":   "onnx",
    "target": "emotion_ferplus_opset_8.onnx",
    "source": "https://onnxzoo.blob.core.windows.net/models/opset_8/emotion_ferplus/emotion_ferplus.tar.gz[emotion_ferplus/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "FastStyleNet.onnx",
    "source": "https://raw.githubusercontent.com/tkat0/chainer-nnvm-example/master/models/chainer-fast-neuralstyle/FastStyleNet.onnx",
    "format": "ONNX v1", "producer": "Chainer 3.2.0"
  },
  {
    "type":   "onnx",
    "target": "gzip_invalid_archive.tar.gz",
    "source": "https://github.com/lutzroeder/netron/files/3027192/gzip_invalid_archive.tar.gz",
    "error":  "Invalid GZIP archive in 'gzip_invalid_archive.tar.gz'.",
    "link":   "https://github.com/lutzroeder/netron/issues/249"
  },
  {
    "type":   "onnx",
    "target": "gzip_invalid_compression.tar.gz",
    "source": "https://github.com/lutzroeder/netron/files/3027193/gzip_invalid_compression.tar.gz",
    "error":  "Invalid compression method '1' in 'gzip_invalid_compression.tar.gz'.",
    "link":   "https://github.com/lutzroeder/netron/issues/249"
  },
  {
    "type":   "onnx",
    "target": "input_0.pb",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/shufflenet.tar.gz[shufflenet/test_data_set_0/input_0.pb]",
    "error":  "Unsupported file content (0801080308e00108e00110014a80e024) for extension '.pb' in 'input_0.pb'.",
    "link":   "https://github.com/onnx/models/tree/master/bvlc_alexnet"
  },
  {
    "type":   "onnx",
    "target": "inception_v1_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/inception_v1.tar.gz[inception_v1/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "inception_v2_opset_6.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_6/inception_v2.tar.gz[inception_v2/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "inception_v2_opset_8.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_8/inception_v2.tar.gz[inception_v2/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "inception_v2_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/inception_v2.tar.gz[inception_v2/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "Kmeans.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2592495/Kmeans.onnx.zip[Kmeans.onnx]",
    "format": "ONNX v3", "producer": "ML.NET 0.7.27009.0",
    "link":   "https://github.com/lutzroeder/netron/issues/188"
  },
  {
    "type":   "onnx",
    "target": "Kmeans.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/4209089/Kmeans.pbtxt.zip[Kmeans.pbtxt]",
    "format": "ONNX v3", "producer": "ML.NET 0.7.27009.0",
    "link":   "https://github.com/lutzroeder/netron/issues/139"
  },
  {
    "type":   "onnx",
    "target": "LabelEncoder.onnx",
    "source": "https://raw.githubusercontent.com/microsoft/onnxruntime/master/onnxruntime/test/testdata/LabelEncoder.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/Microsoft/onnxruntime/tree/master/onnxruntime/test/testdata"
  },
  {
    "type":   "onnx",
    "target": "mnist.onnx",
    "source": "https://raw.githubusercontent.com/Microsoft/Windows-Machine-Learning/master/Samples/MNIST/Tutorial/cs/Assets/mnist.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/MNIST/Tutorial/cs/Assets"
  },
  {
    "type":   "onnx",
    "target": "mnist_opset_9.onnx",
    "source": "https://onnxzoo.blob.core.windows.net/models/opset_8/mnist/mnist.tar.gz[mnist/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "mlnet_encoder.onnx",
    "source": "https://raw.githubusercontent.com/Microsoft/onnxruntime/master/onnxruntime/test/testdata/mlnet_encoder.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/Microsoft/onnxruntime/tree/master/onnxruntime/test/testdata"
  },
  {
    "type":   "onnx",
    "target": "netron_issue_119.onnx",
    "source": "https://github.com/lutzroeder/netron/files/4260629/netron_issue_119.zip[netron_issue_119.onnx]",
    "format": "ONNX v4",
    "link":   "https://github.com/lutzroeder/netron/issues/119"
  },
  {
    "type":   "onnx",
    "target": "netron_issue168_onnx_if.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/3239859/netron_issue168_onnx.zip[netron_issue168_onnx_if.pbtxt]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/168"
  },
  {
    "type":   "onnx",
    "target": "netron_issue168_onnx_loop.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/3239859/netron_issue168_onnx.zip[netron_issue168_onnx_loop.pbtxt]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/168"
  },
  {
    "type":   "onnx",
    "target": "netron_issue168_onnx_scan.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/3239859/netron_issue168_onnx.zip[netron_issue168_onnx_scan.pbtxt]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/168"
  },
  {
    "type":   "onnx",
    "target": "optional_1.onnx",
    "source": "https://raw.githubusercontent.com/microsoft/onnxruntime/master/onnxruntime/test/testdata/optional_1.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/testdata"
  },
  {
    "type":   "onnx",
    "target": "resnet50_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/resnet50.tar.gz[resnet50/model.onnx]"
  },
  {
    "type":   "onnx",
    "target": "resnet50v2.onnx",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet50v2/resnet50v2.onnx"
  },
  {
    "type":   "onnx",
    "target": "ResNet101_DUC_HDC.onnx",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/duc/ResNet101_DUC_HDC.onnx"
  },
  {
    "type":   "onnx",
    "target": "reshape_opset_4.pb",
    "source": "https://github.com/lutzroeder/netron/files/2592375/reshape_opset.zip[reshape_opset_4.pb]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/pull/97"
  },
  {
    "type":   "onnx",
    "target": "reshape_opset_6.pb",
    "source": "https://github.com/lutzroeder/netron/files/2592375/reshape_opset.zip[reshape_opset_6.pb]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/pull/97"
  },
  {
    "type":   "onnx",
    "target": "shufflenet_float16.onnx",
    "source": "https://github.com/lutzroeder/netron/files/2592368/shufflenet_float16.onnx.zip[shufflenet_float16.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/186"
  },
  {
    "type":   "onnx",
    "target": "shufflenet_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/shufflenet.tar.gz[shufflenet/model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/shufflenet"
  },
  {
    "type":   "onnx",
    "target": "squeezenet.onnx",
    "source": "https://raw.githubusercontent.com/onnx/tutorials/master/tutorials/assets/squeezenet.onnx",
    "format": "ONNX v1", "producer": "pytorch 0.2"
  },
  {
    "type":   "onnx",
    "target": "squeezenet1.1.onnx",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/squeezenet/squeezenet1.1/squeezenet1.1.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/onnx/models/tree/master/vision/classification/squeezenet"
  },
  {
    "type":   "onnx",
    "target": "squeezenet1.1_shape.onnx",
    "source": "https://github.com/lutzroeder/netron/files/3935903/squeezenet1.1_shape.onnx.zip[squeezenet1.1_shape.onnx]",
    "format": "ONNX v3",
    "link":   "https://github.com/lutzroeder/netron/issues/188"
  },
  {
    "type":   "onnx",
    "target": "squeezenet1.1.pb",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/squeezenet/squeezenet1.1/squeezenet1.1.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/onnx/models/tree/master/models/image_classification/squeezenet"
  },
  {
    "type":   "onnx",
    "target": "squeezenet1.1.tgz",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/squeezenet/squeezenet1.1/squeezenet1.1.tar.gz",
    "format": "ONNX v3",
    "link":   "https://github.com/onnx/models/tree/master/models/image_classification/squeezenet"
  },
  {
    "type":   "onnx",
    "target": "ssd.onnx",
    "source": "https://onnxzoo.blob.core.windows.net/models/opset_10/ssd/ssd.onnx",
    "format": "ONNX v4",
    "link":   "https://github.com/onnx/models/tree/master/ssd"
  },
  {
    "type":   "onnx",
    "target": "super_resolution.onnx",
    "source": "https://github.com/onnx/models/blob/master/vision/super_resolution/sub_pixel_cnn_2016/model/super_resolution.onnx?raw=true",
    "format": "ONNX v4", "producer": "pytorch 1.1",
    "link":   "https://github.com/onnx/models/tree/master/vision/super_resolution"
  },
  {
    "type":   "onnx",
    "target": "super_resolution_0.2.onnx",
    "source": "https://gist.github.com/zhreshold/bcda4716699ac97ea44f791c24310193/raw/93672b029103648953c4e5ad3ac3aadf346a4cdc/super_resolution_0.2.onnx",
    "format": "ONNX v1", "producer": "pytorch 0.2"
  },
  {
    "type":   "onnx",
    "target": "test_LSTM_tanh_bidirectional.onnx",
    "source": "https://raw.githubusercontent.com/microsoft/onnxruntime/master/onnxruntime/test/testdata/CNTK/test_LSTM.tanh.bidirectional//model.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/testdata"
  },
  {
    "type":   "onnx",
    "target": "test_RNN_bidirectional_one_layer_relu.onnx",
    "source": "https://raw.githubusercontent.com/microsoft/onnxruntime/master/onnxruntime/test/testdata/CNTK/test_RNN.bidirectional.one_layer.relu//model.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/testdata"
  },
  {
    "type":   "onnx",
    "target": "test_lstm_with_peepholes.onnx",
    "source": "https://raw.githubusercontent.com/onnx/onnx/master/onnx/backend/test/data/node/test_lstm_with_peepholes/model.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/onnx/onnx/tree/master/onnx/backend/test/data"
  },
  {
    "type":   "onnx",
    "target": "tiny_yolov2_opset_8.onnx",
    "source": "https://onnxzoo.blob.core.windows.net/models/opset_8/tiny_yolov2/tiny_yolov2.tar.gz[tiny_yolov2/./Model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny_yolov2"
  },
  {
    "type":   "onnx",
    "target": "YOLOv2_tiny.onnx",
    "source": "https://raw.githubusercontent.com/tkat0/chainer-nnvm-example/master/models/YOLOv2_tiny/YOLOv2_tiny.onnx",
    "format": "ONNX v1", "producer": "Chainer 3.2.0",
    "link":   "https://github.com/tkat0/chainer-nnvm-example"
  },
  {
    "type":   "onnx",
    "target": "yolov3.onnx",
    "source": "https://onnxzoo.blob.core.windows.net/models/opset_10/yolov3/yolov3.onnx",
    "format": "ONNX v5", "producer": "keras2onnx 1.5.1",
    "link":   "https://github.com/onnx/models/tree/master/yolov3"
  },
  {
    "type":   "onnx",
    "target": "vgg16-bn.onnx",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/vgg/vgg16-bn/vgg16-bn.onnx",
    "link":   "https://github.com/onnx/models/tree/master/vision/classification/vgg"
  },
  {
    "type":   "onnx",
    "target": "vgg19.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/vgg19.tar.gz[vgg19/model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/vision/classification/vgg"
  },
  {
    "type":   "onnx",
    "target": "vgg19-bn.onnx",
    "source": "https://s3.amazonaws.com/onnx-model-zoo/vgg/vgg19-bn/vgg19-bn.onnx",
    "link":   "https://github.com/onnx/models/tree/master/vision/classification/vgg"
  },
  {
    "type":   "onnx",
    "target": "zfnet512_opset_9.onnx",
    "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/zfnet512.tar.gz[zfnet512/model.onnx]",
    "link":   "https://github.com/onnx/models/tree/master/vision/classification/zfnet-512"
  },
  {
    "type":   "onnx",
    "target": "zip_invalid_archive.zip",
    "source": "https://github.com/lutzroeder/netron/files/3027198/zip_invalid_archive.zip",
    "error":  "Invalid ZIP archive in 'zip_invalid_archive.zip'.",
    "link":   "https://github.com/lutzroeder/netron/issues/250"
  },
  {
    "type":   "onnx",
    "target": "zipmap_int64float.onnx",
    "source": "https://raw.githubusercontent.com/microsoft/onnxruntime/master/onnxruntime/test/testdata/zipmap_int64float.onnx",
    "format": "ONNX v3",
    "link":   "https://github.com/microsoft/onnxruntime/tree/master/onnxruntime/test/testdata"
  },
  {
    "type":   "openvino",
    "target": "2018_R3_age-gender-recognition-retail-0013.xml,2018_R3_age-gender-recognition-retail-0013.bin",
    "source": "https://download.01.org/openvinotoolkit/2018_R3/open_model_zoo/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml,https://download.01.org/openvinotoolkit/2018_R3/open_model_zoo/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.bin",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R3_rm_cnn4a.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/rm_cnn4a_smbr/rm_cnn4a.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R3_rm_lstm4f.xml,2018_R3_rm_lstm4f.bin",
    "source": "https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/rm_lstm4f/rm_lstm4f.xml,https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/rm_lstm4f/rm_lstm4f.bin",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R3_wsj_dnn5b.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/wsj_dnn5b_smbr/wsj_dnn5b.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_emotions-recognition-retail-0003.bin,2018_R4_emotions-recognition-retail-0003.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.bin,https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_face-detection-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/face-detection-adas-0001/FP32/face-detection-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_face-detection-retail-0004.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/face-detection-retail-0004/FP32/face-detection-retail-0004.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_face-person-detection-retail-0002.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/face-person-detection-retail-0002/FP32/face-person-detection-retail-0002.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_face-reidentification-retail-0071.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/face-reidentification-retail-0071/FP32/face-reidentification-retail-0071.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_facial-landmarks-35-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/facial-landmarks-35-adas-0001/FP32/facial-landmarks-35-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_head-pose-estimation-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/head-pose-estimation-adas-0001/FP32/head-pose-estimation-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_human-pose-estimation-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_landmarks-regression-retail-0009.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-attributes-recognition-crossroad-0031.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-attributes-recognition-crossroad-0031/FP32/person-attributes-recognition-crossroad-0031.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_pedestrian-detection-adas-0002.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/pedestrian-detection-adas-0002/FP32/pedestrian-detection-adas-0002.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-detection-retail-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-detection-retail-0001/FP32/person-detection-retail-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-detection-retail-0013.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-detection-retail-0013/FP32/person-detection-retail-0013.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-reidentification-retail-0031.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-reidentification-retail-0031/FP32/person-reidentification-retail-0031.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-reidentification-retail-0076.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-reidentification-retail-0076/FP32/person-reidentification-retail-0076.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-detection-action-recognition-0003.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-detection-action-recognition-0003/FP32/person-detection-action-recognition-0003.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-reidentification-retail-0079.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_person-vehicle-bike-detection-crossroad-0078.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_road-segmentation-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/road-segmentation-adas-0001/FP32/road-segmentation-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_age-gender-recognition-retail-0013.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_emotions-recognition-retail-0003.xml,2018_R5_emotions-recognition-retail-0003.bin",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.xml,https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.bin",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_face-detection-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/face-detection-adas-0001/FP32/face-detection-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_face-detection-retail-0004.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/face-detection-retail-0004/FP32/face-detection-retail-0004.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_face-person-detection-retail-0002.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/face-person-detection-retail-0002/FP32/face-person-detection-retail-0002.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_face-reidentification-retail-0095.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/face-reidentification-retail-0095/FP32/face-reidentification-retail-0095.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_facial-landmarks-35-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/facial-landmarks-35-adas-0001/FP32/facial-landmarks-35-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_head-pose-estimation-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/head-pose-estimation-adas-0001/FP32/head-pose-estimation-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_human-pose-estimation-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_landmarks-regression-retail-0009.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_landmarks-regression-retail-0009-fp16.xml,2018_R4_landmarks-regression-retail-0009-fp16.bin",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/landmarks-regression-retail-0009/FP16/landmarks-regression-retail-0009.xml,https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/landmarks-regression-retail-0009/FP16/landmarks-regression-retail-0009.bin",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_license-plate-recognition-barrier-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_pedestrian-and-vehicle-detector-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/pedestrian-and-vehicle-detector-adas-0001/FP32/pedestrian-and-vehicle-detector-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_semantic-segmentation-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/semantic-segmentation-adas-0001/FP32/semantic-segmentation-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_single-image-super-resolution-0034.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/single-image-super-resolution-0034/FP32/single-image-super-resolution-0034.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_vehicle-attributes-recognition-barrier-0039.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_vehicle-detection-adas-0002.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/vehicle-detection-adas-0002/FP32/vehicle-detection-adas-0002.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R4_vehicle-license-plate-detection-barrier-0106.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R4/open_model_zoo/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_license-plate-recognition-barrier-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_pedestrian-and-vehicle-detector-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/pedestrian-and-vehicle-detector-adas-0001/FP32/pedestrian-and-vehicle-detector-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_pedestrian-detection-adas-0002.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/pedestrian-detection-adas-0002/FP32/pedestrian-detection-adas-0002.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-attributes-recognition-crossroad-0200.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-attributes-recognition-crossroad-0200/FP32/person-attributes-recognition-crossroad-0200.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-detection-action-recognition-0004.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-detection-action-recognition-0004/FP32/person-detection-action-recognition-0004.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-detection-retail-0002.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-detection-retail-0002/FP32/person-detection-retail-0002.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-detection-retail-0013.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-detection-retail-0013/FP32/person-detection-retail-0013.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-reidentification-retail-0031.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0031/FP32/person-reidentification-retail-0031.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-reidentification-retail-0076.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0076/FP32/person-reidentification-retail-0076.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-reidentification-retail-0079.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_person-vehicle-bike-detection-crossroad-0078.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_road-segmentation-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/road-segmentation-adas-0001/FP32/road-segmentation-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_semantic-segmentation-adas-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/semantic-segmentation-adas-0001/FP32/semantic-segmentation-adas-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_single-image-super-resolution-0063.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/single-image-super-resolution-0063/FP32/single-image-super-resolution-0063.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_single-image-super-resolution-1011.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/single-image-super-resolution-1011/FP32/single-image-super-resolution-1011.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_single-image-super-resolution-1021.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/single-image-super-resolution-1021/FP32/single-image-super-resolution-1021.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_text-detection-0001.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/text-detection-0001/FP32/text-detection-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_vehicle-attributes-recognition-barrier-0039.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_vehicle-detection-adas-0002.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/vehicle-detection-adas-0002/FP32/vehicle-detection-adas-0002.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2018_R5_vehicle-license-plate-detection-barrier-0106.xml",
    "source": "https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "2019_R1_resnet50-binary-0001.bin,2019_R1_resnet50-binary-0001.xml",
    "source": "https://download.01.org/opencv/2019/open_model_zoo/R1/models_bin/resnet50-binary-0001/resnet50-binary-0001.bin,https://download.01.org/opencv/2019/open_model_zoo/R1/models_bin/resnet50-binary-0001/resnet50-binary-0001.xml",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/opencv"
  },
  {
     "type":   "openvino",
     "target": "netron_issue_372.xml",
     "source": "https://github.com/lutzroeder/netron/files/4447843/netron_issue_372.zip[netron_issue_372.xml]",
     "format": "OpenVINO IR",
     "link":   "https://github.com/lutzroeder/netron/issues/372"
   },
   {
    "type":   "openvino",
    "target": "with_pad_simple.xml",
    "source": "https://github.com/lutzroeder/netron/files/2871673/with_pad_simple.xml.zip[with_pad_simple.xml]",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "with_nd_conv_simple.xml",
    "source": "https://github.com/lutzroeder/netron/files/2871696/with_nd_conv_simple.xml.zip[with_nd_conv_simple.xml]",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "with_gather.xml",
    "source": "https://github.com/lutzroeder/netron/files/2871676/with_gather.xml.zip[with_gather.xml]",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "ti_with_large_body.xml",
    "source": "https://github.com/lutzroeder/netron/files/2871678/ti_with_large_body.xml.zip[ti_with_large_body.xml]",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/openvinotoolkit"
  },
  {
    "type":   "openvino",
    "target": "text-recognition-0012.xml,text-recognition-0012.bin",
    "source": "https://download.01.org/opencv/2020/openvinotoolkit/2020.2/open_model_zoo/models_bin/3/text-recognition-0012/FP16-INT8/text-recognition-0012.xml,https://download.01.org/opencv/2020/openvinotoolkit/2020.2/open_model_zoo/models_bin/3/text-recognition-0012/FP16-INT8/text-recognition-0012.bin",
    "error":  "Graph contains not connected layers [\"shadow/LSTMLayers/encoder/stack_bidirectional_rnn/cell_0/concat\",\"shadow/LSTMLayers/encoder/stack_bidirectional_rnn/cell_1/concat\",\"shadow/LSTMLayers/decoder/stack_bidirectional_rnn/cell_0/concat\",\"shadow/LSTMLayers/decoder/stack_bidirectional_rnn/cell_1/concat/fq_input_0\",\"shadow/LSTMLayers/decoder/stack_bidirectional_rnn/cell_1/concat/fq_input_1\"].",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/opencv/2020/openvinotoolkit/2020.2/open_model_zoo/models_bin/3/text-recognition-0012/FP16-INT8"
  },
  {
    "type":   "openvino",
    "target": "text-spotting-0002-recognizer-decoder.xml,text-spotting-0002-recognizer-decoder.bin",
    "source": "https://download.01.org/opencv/2020/openvinotoolkit/2020.2/open_model_zoo/models_bin/3/text-spotting-0002-recognizer-decoder/FP32/text-spotting-0002-recognizer-decoder.xml,https://download.01.org/opencv/2020/openvinotoolkit/2020.2/open_model_zoo/models_bin/3/text-spotting-0002-recognizer-decoder/FP32/text-spotting-0002-recognizer-decoder.bin",
    "error":  "Graph contains not connected layers [\"hidden\",\"77/SqueezeNumDirections/0\"].",
    "format": "OpenVINO IR",
    "link":   "https://download.01.org/opencv/2020/openvinotoolkit/2020.2/open_model_zoo/models_bin/3/text-spotting-0002-recognizer-decoder/FP32"
  },
  {
    "type":   "paddle",
    "target": "PyramidBox_WiderFace.tar.gz",
    "source": "http://paddlemodels.bj.bcebos.com/PyramidBox_WiderFace.tar.gz",
    "format": "PaddlePaddle",
    "link":   "https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/face_detection"
  },
  {
    "type":   "paddle",
    "target": "resnet50_int8_model.tar.gz",
    "source": "http://paddle-inference-dist.bj.bcebos.com/int8/resnet50_int8_model.tar.gz",
    "format": "PaddlePaddle",
    "link":   "https://github.com/lutzroeder/netron/issues/198"
  },
  {
    "type":   "paddle",
    "target": "vgg_ilsvrc_16_fc_reduced.tar.gz",
    "source": "http://paddlemodels.bj.bcebos.com/vgg_ilsvrc_16_fc_reduced.tar.gz",
    "format": "PaddlePaddle",
    "link":   "https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/face_detection"
  },
  {
    "type":   "paddle",
    "target": "with_dummy_tensor_type.zip",
    "source": "https://github.com/lutzroeder/netron/files/3021210/with_dummy_tensor_type.zip",
    "format": "PaddlePaddle",
    "link":   "https://github.com/lutzroeder/netron/issues/246"
  },
  {
    "type":   "paddle",
    "target": "without_tensor_type.zip",
    "source": "https://github.com/lutzroeder/netron/files/3021211/without_tensor_type.zip",
    "format": "PaddlePaddle",
    "link":   "https://github.com/lutzroeder/netron/issues/246"
  },
  {
    "type":   "pytorch",
    "target": "alexnet.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "alexnet.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v1.6",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "alexnet.pt",
    "script": "./tools/pytorch sync install zoo",
    "format": "TorchScript v1.6",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "alexnet_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "format": "TorchScript v1.6",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "alexnet-owt-4df8aa71.pth",
    "source": "https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth",
    "format": "PyTorch v0.1.1",
    "link":   "https://github.com/pytorch/vision/blob/master/torchvision/models/alexnet.py"
  },
  {
    "type":   "pytorch",
    "target": "blitz_neural_networks_tutorial_traced.pt",
    "source": "https://github.com/lutzroeder/netron/files/3748989/blitz_neural_networks_tutorial.zip[blitz_neural_networks_tutorial_traced.pt]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/281"
  },
  {
    "type":   "pytorch",
    "target": "blitz_neural_networks_tutorial.pt",
    "source": "https://github.com/lutzroeder/netron/files/3748989/blitz_neural_networks_tutorial.zip[blitz_neural_networks_tutorial.pt]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/281"
  },
  {
    "type":   "pytorch",
    "target": "blitz_cifar10_tutorial.pt",
    "source": "https://github.com/lutzroeder/netron/files/3748500/blitz_cifar10_tutorial.zip[blitz_cifar10_tutorial.pt]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/281"
  },
  {
    "type":   "pytorch",
    "target": "bn_inception-9f5701afb96c8044.pth",
    "source": "https://yjxiong.blob.core.windows.net/models/bn_inception-9f5701afb96c8044.pth",
    "format": "PyTorch v0.1.1"
  },
  {
    "type":   "pytorch",
    "target": "bvlc_googlenet.caffemodel.pth",
    "source": "https://www.dropbox.com/s/2ljm35ztj6hllcu/bvlc_googlenet.caffemodel.pth?dl=1",
    "format": "PyTorch v0.1.10",
    "link":   "https://sea-region.github.com/yuminsuh/part_bilinear_reid/issues/2"
  },
  {
    "type":   "pytorch",
    "target": "ckpt.t7",
    "source": "https://raw.githubusercontent.com/babajide07/Redundant-Feature-Pruning-Pytorch-Implementation/master/checkpoint/ckpt.t7",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/babajide07/Redundant-Feature-Pruning-Pytorch-Implementation"
  },
  {
    "type":   "pytorch",
    "target": "cruise_cutin_vehicle_model.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/cruise_cutin_vehicle_model.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "cruise_go_vehicle_model.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/cruise_go_vehicle_model.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "densenet161.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "densenet161.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "densenet161.pt",
    "script": "./tools/pytorch sync install zoo",
    "render": "skip",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "densenet161_traced.pt",
    "render": "skip",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "densenet161-8d451a50.pth",
    "format": "PyTorch v0.1.10",
    "source": "https://download.pytorch.org/models/densenet161-8d451a50.pth"
  },
  {
    "type":   "pytorch",
    "target": "gcn2_tiny_320x240.pt",
    "source": "https://raw.githubusercontent.com/jiexiong2016/GCNv2_SLAM/master/GCN2/gcn2_tiny_320x240.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/jiexiong2016/GCNv2_SLAM"
  },
  {
    "type":   "pytorch",
    "target": "inception_v3.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "inception_v3.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "inception_v3.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "inception_v3_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "inception_v3_google-1a9a5a14.pth",
    "format": "PyTorch v0.1.10",
    "source": "https://download.pytorch.org/models/inception_v3_google-1a9a5a14.pth"
  },
  {
    "type":   "pytorch",
    "target": "junction_mlp_vehicle_model.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/junction_mlp_vehicle_model.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "lane_scanning_vehicle_model.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/lane_scanning_vehicle_model.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "mask_r_cnn.pth",
    "source": "https://raw.githubusercontent.com/facebookresearch/kill-the-bits/master/src/models/compressed/mask_r_cnn.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/facebookresearch/kill-the-bits/tree/master/src/models/compressed"
  },
  {
    "type":   "pytorch",
    "target": "mask_rcnn_r50_fpn_1x_20181010-069fa190.pth",
    "source": "https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_r50_fpn_1x_20181010-069fa190.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md"
  },
  {
    "type":   "pytorch",
    "target": "mnist_linear.ckpt",
    "source": "https://github.com/lutzroeder/netron/files/3585288/mnist_linear_torchscript.zip[mnist_linear.ckpt]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/281"
  },
  {
    "type":   "pytorch",
    "target": "mnist_linear_torchscript_1.pt",
    "source": "https://github.com/lutzroeder/netron/files/3585288/mnist_linear_torchscript.zip[mnist_linear_torchscript_1.pt]",
    "format": "TorchScript v1.1",
    "link":   "https://github.com/lutzroeder/netron/issues/281"
  },
  {
    "type":   "pytorch",
    "target": "mnist_linear_torchscript_2.pt",
    "source": "https://github.com/lutzroeder/netron/files/3585288/mnist_linear_torchscript.zip[mnist_linear_torchscript_2.pt]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/281"
  },

  {
    "type":   "pytorch",
    "target": "mobilefacenet_scripted.pt",
    "source": "https://github.com/foamliu/MobileFaceNet/releases/download/v1.0/mobilefacenet_scripted.pt",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/foamliu/MobileFaceNet"
  },
  {
    "type":   "pytorch",
    "target": "Mobilenet_se_focal_121000.pt",
    "source": "https://download.01.org/openvinotoolkit/open_model_zoo/training_toolbox_pytorch/models/fr/Mobilenet_se_focal_121000.pt",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/grib0ed0v/face_recognition.pytorch"
  },
  {
    "type":   "pytorch",
    "target": "mobilenet_quantization_scripted_quantized.pth",
    "source": "https://github.com/lutzroeder/netron/files/4111581/mobilenet_quantization_scripted_quantized.pth.zip[mobilenet_quantization_scripted_quantized.pth]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/421"
  },
  {
    "type":   "pytorch",
    "target": "mobilenet_quantized_scripted_925.pt",
    "source": "https://raw.githubusercontent.com/pytorch/android-demo-app/master/PyTorchDemoApp/app/src/main/assets/mobilenet_quantized_scripted_925.pt",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/pytorch/android-demo-app"
  },
  {
    "type":   "pytorch",
    "target": "mobilenet_v2.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "mobilenet_v2.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "mobilenet_v2_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "model-reddit16-f140225004_2.pt1",
    "source": "https://raw.githubusercontent.com/pytorch/android-demo-app/master/PyTorchDemoApp/app/src/main/assets/model-reddit16-f140225004_2.pt1",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/pytorch/android-demo-app"
  },
  {
    "type":   "pytorch",
    "target": "model_chall_train_152ft_384x288.pth.tar",
    "source": "https://www.dropbox.com/s/hfz5nkd39uisvbr/model_chall_train_152ft_384x288.pth.tar?dl=1",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/JimmySuen/integral-human-pose"
  },
  {
    "type":   "pytorch",
    "target": "netron_issue_313_v1.pt",
    "source": "https://github.com/lutzroeder/netron/files/3721266/netron_issue_313.zip[netron_issue_313_v1.pt]",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/lutzroeder/netron/issues/313"
  },
  {
    "type":   "pytorch",
    "target": "netron_issue_313_v2.pt",
    "source": "https://github.com/lutzroeder/netron/files/3721266/netron_issue_313.zip[netron_issue_313_v2.pt]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/313"
  },
  {
    "type":   "pytorch",
    "target": "netron_issue_432_activation.pth",
    "source": "https://github.com/lutzroeder/netron/files/4226686/netron_issue_432_activation.pth.zip[netron_issue_432_activation.pth]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/432"
  },
  {
    "type":   "pytorch",
    "target": "netron_issue_432_bmm.pth",
    "source": "https://github.com/lutzroeder/netron/files/4226688/netron_issue_432_bmm.pth.zip[netron_issue_432_bmm.pth]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/432"
  },
  {
    "type":   "pytorch",
    "target": "netron_issue_432_constant_pad_2d.pth",
    "source": "https://github.com/lutzroeder/netron/files/4226690/netron_issue_432_constant_pad_2d.pth.zip[netron_issue_432_constant_pad_2d.pth]",
    "format": "TorchScript v1.3",
    "link":   "https://github.com/lutzroeder/netron/issues/432"
  },
  {
    "type":   "pytorch",
    "target": "pedestrian_interaction_position_embedding.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/pedestrian_interaction_position_embedding.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "pedestrian_interaction_prediction_layer.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/pedestrian_interaction_prediction_layer.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "pedestrian_interaction_single_lstm.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/pedestrian_interaction_single_lstm.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "pedestrian_interaction_social_embedding.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/pedestrian_interaction_social_embedding.pt",
    "format": "TorchScript v1.1",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "pytorch_invalid_file.pth",
    "source": "https://github.com/lutzroeder/netron/files/3269093/pytorch_invalid_file.zip[pytorch_invalid_file.pth]",
    "error":  "Could not find end of line in 'pytorch_invalid_file.pth'.",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "r3d_18.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "r3d_18.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "r3d_18.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "r3d_18_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet18.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet18.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet18.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet18_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet18-5c106cde.pth",
    "source": "https://download.pytorch.org/models/resnet18-5c106cde.pth",
    "format": "PyTorch v0.1.1",
    "link":   "https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py"
  },
  {
    "type":   "pytorch",
    "target": "resnet18_fbgemm_16fa66dd.pth",
    "source": "https://download.pytorch.org/models/quantized/resnet18_fbgemm_16fa66dd.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/pytorch/vision/blob/master/torchvision/models/quantization/resnet.py"
  },
  {
    "type":   "pytorch",
    "target": "resnet18_large_blocks.pth",
    "source": "https://raw.githubusercontent.com/facebookresearch/kill-the-bits/master/src/models/compressed/resnet18_large_blocks.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/facebookresearch/kill-the-bits/tree/master/src/models/compressed"
  },
  {
    "type":   "pytorch",
    "target": "resnet-18-at-export.pth",
    "source": "https://s3.amazonaws.com/modelzoo-networks/resnet-18-at-export.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/szagoruyko/attention-transfer"
  },
  {
    "type":   "pytorch",
    "target": "resnet34-333f7ec4.pth",
    "source": "https://download.pytorch.org/models/resnet34-333f7ec4.pth",
    "format": "PyTorch v0.1.1",
    "link":   "https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py"
  },
  {
    "type":   "pytorch",
    "target": "resnet101.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet101.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet101.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet101_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "resnet50_tucker.pth",
    "source": "https://raw.githubusercontent.com/larry0123du/Decompose-CNN/master/models/resnet50_tucker.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/larry0123du/Decompose-CNN"
  },
  {
    "type":   "pytorch",
    "target": "resnet50_tucker_state.pth",
    "source": "https://raw.githubusercontent.com/larry0123du/Decompose-CNN/master/models/resnet50_tucker_state.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/larry0123du/Decompose-CNN"
  },
  {
    "type":   "pytorch",
    "target": "resnet101-5d3b4d8f.pth",
    "source": "https://download.pytorch.org/models/resnet101-5d3b4d8f.pth",
    "format": "PyTorch v0.1.1",
    "link":   "https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py"
  },
  {
    "type":   "pytorch",
    "target": "semantic_lstm_vehicle_model.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/semantic_lstm_vehicle_model.pt",
    "format": "TorchScript v1.1",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "SiamFC_50_model.pth",
    "source": "https://raw.githubusercontent.com/HengLan/SiamFC-PyTorch/master/Train/model/SiamFC_50_model.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/HengLan/SiamFC-PyTorch"
  },
  {
    "type":   "pytorch",
    "target": "shufflenet_v2_x1_0.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "shufflenet_v2_x1_0.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "shufflenet_v2_x1_0.pt",
    "render": "skip",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "squeezenet1_0-a815701f.pth",
    "source": "https://download.pytorch.org/models/squeezenet1_0-a815701f.pth",
    "format": "PyTorch v0.1.1"
  },
  {
    "type":   "pytorch",
    "target": "squeezenet1_1.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "squeezenet1_1.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "squeezenet1_1.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "squeezenet1_1_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "squeezenet1_1-f364aa15.pth",
    "source": "https://download.pytorch.org/models/squeezenet1_1-f364aa15.pth",
    "format": "PyTorch v0.1.1"
  },
  {
    "type":   "pytorch",
    "target": "superpoint_v1.pth",
    "source": "https://raw.githubusercontent.com/MagicLeapResearch/SuperPointPretrainedNetwork/master/superpoint_v1.pth",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/MagicLeapResearch/SuperPointPretrainedNetwork"
  },
  {
    "type":   "pytorch",
    "target": "superpoint.pt",
    "source": "https://raw.githubusercontent.com/KinglittleQ/SuperPoint_SLAM/master/superpoint.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/KinglittleQ/SuperPoint_SLAM"
  },
  {
    "type":   "pytorch",
    "target": "traced_online_lane_enc.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/traced_online_lane_enc.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "traced_online_obs_enc.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/traced_online_obs_enc.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "traced_online_pred_layer.pt",
    "source": "https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/traced_online_pred_layer.pt",
    "format": "TorchScript v1.0",
    "link":   "https://github.com/ApolloAuto/apollo"
  },
  {
    "type":   "pytorch",
    "target": "tutorial_bidirectional_recurrent_neural_network.pth",
    "source": "https://github.com/lutzroeder/netron/files/2587823/tutorial_models.zip[tutorial_bidirectional_recurrent_neural_network.pth]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "tutorial_convolutional_neural_network.pth",
    "source": "https://github.com/lutzroeder/netron/files/2587823/tutorial_models.zip[tutorial_convolutional_neural_network.pth]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "tutorial_deep_residual_network.pth",
    "source": "https://github.com/lutzroeder/netron/files/2587823/tutorial_models.zip[tutorial_deep_residual_network.pth]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "tutorial_logistic_regression.pth",
    "source": "https://github.com/lutzroeder/netron/files/2587823/tutorial_models.zip[tutorial_logistic_regression.pth]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "tutorial_mnist.pth",
    "source": "https://github.com/lutzroeder/netron/files/2587823/tutorial_models.zip[tutorial_mnist.pth]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "tutorial_recurrent_neural_network.pth",
    "source": "https://github.com/lutzroeder/netron/files/2587823/tutorial_models.zip[tutorial_recurrent_neural_network.pth]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "tutorial_variational_autoencoder.pth.tar",
    "source": "https://github.com/lutzroeder/netron/files/2587823/tutorial_models.zip[tutorial_variational_autoencoder.pth]",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/lutzroeder/netron/issues/133"
  },
  {
    "type":   "pytorch",
    "target": "vgg-cifar10.pth.tar",
    "source": "http://www.cs.unc.edu/~cyfu/cifar10/model_best.pth.tar",
    "format": "PyTorch v0.1.10",
    "link":   "https://github.com/chengyangfu/pytorch-vgg-cifar10"
  },
  {
    "type":   "pytorch",
    "target": "vgg11-bbd30ac9.pth",
    "source": "https://download.pytorch.org/models/vgg11-bbd30ac9.pth",
    "format": "PyTorch v0.1.10"
  },
  {
    "type":   "pytorch",
    "target": "vgg11_bn.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "vgg11_bn.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "vgg16.pkl.pth",
    "script": "./tools/pytorch sync install zoo",
    "format": "PyTorch v0.1.10",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "vgg16.zip.pth",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "vgg16.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "pytorch",
    "target": "vgg16_traced.pt",
    "script": "./tools/pytorch sync install zoo",
    "link":   "https://pytorch.org/docs/stable/torchvision/models.html"
  },
  {
    "type":   "sklearn",
    "target": "binarizer.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2587902/binarizer.zip[binarizer.pkl]",
    "format": "scikit-learn 0.19.1",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "binarizer.joblib",
    "source": "https://github.com/lutzroeder/netron/files/2587902/binarizer.zip[binarizer.joblib]",
    "format": "scikit-learn 0.19.1",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "best_boston.pkl",
    "source": "https://github.com/lutzroeder/netron/files/3335715/xgboost_best_boston.zip[best_boston.pkl]",
    "format": "scikit-learn 0.20.2",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "curvrank.localization.dorsal.weights.pkl",
    "source": "https://lev.cs.rpi.edu/public/models/curvrank.localization.dorsal.weights.pkl",
    "format": "scikit-learn"
  },
  {
    "type":   "sklearn",
    "target": "LDA_model.pkl",
    "source": "https://raw.githubusercontent.com/rainer85ah/DCS/master/Output/LDA_model.pkl",
    "format": "scikit-learn",
    "link":   "https://github.com/rainer85ah/DCS"
  },
  {
    "type":   "sklearn",
    "target": "phoenix_ml_classifier.pkl",
    "source": "https://raw.githubusercontent.com/imeraj/Phoenix_Playground/master/1.4/phoenix_ml/lib/phoenix_ml/model/classifier.pkl",
    "format": "scikit-learn 0.19.1",
    "link":   "https://github.com/imeraj/Phoenix_Playground/tree/master/1.4/phoenix_ml/lib/phoenix_ml/model"
  },
  {
    "type":   "sklearn",
    "target": "forest_iris_ExtraTreesClassifier.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2592356/forest_iris_models.zip[forest_iris_ExtraTreesClassifier.pkl]",
    "format": "scikit-learn 0.19.2",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "forest_iris_RandomForestClassifier.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2592356/forest_iris_models.zip[forest_iris_RandomForestClassifier.pkl]",
    "format": "scikit-learn 0.19.2",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "forest_iris_AdaBoostClassifier.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2592356/forest_iris_models.zip[forest_iris_AdaBoostClassifier.pkl]",
    "format": "scikit-learn 0.19.2",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "forest_iris_DecisionTreeClassifier.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2592356/forest_iris_models.zip[forest_iris_DecisionTreeClassifier.pkl]",
    "format": "scikit-learn 0.19.2",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "net2.pkl",
    "source": "https://raw.githubusercontent.com/Aabglov/LasaganeTest/master/results/net2.pkl",
    "format": "scikit-learn",
    "link":   "https://github.com/Aabglov/LasaganeTest"
  },
  {
    "type":   "sklearn",
    "target": "pima.xgboost.joblib.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2656501/pima.xgboost.joblib.pkl.zip[pima.xgboost.joblib.pkl]",
    "format": "scikit-learn",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "R-50.pkl",
    "source": "https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl",
    "format": "scikit-learn",
    "link":   "https://github.com/facebookresearch/Detectron"
  },
  {
    "type":   "sklearn",
    "target": "robinhood-portfolio_data_user.pkl.pkl",
    "source": "https://raw.githubusercontent.com/omdv/robinhood-portfolio/4622dc61e0556a85ce52c4de178d01a9838acbc5/data/user.pkl",
    "error":  "Root object has no type in 'robinhood-portfolio_data_user.pkl.pkl'.",
    "link":   "https://github.com/omdv/robinhood-portfolio/tree/4622dc61e0556a85ce52c4de178d01a9838acbc5"
  },
  {
    "type":   "sklearn",
    "target": "svc.joblib.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2592359/svc.zip[svc.joblib.pkl]",
    "format": "scikit-learn 0.19.1",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "svc.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2592359/svc.zip[svc.pkl]",
    "format": "scikit-learn 0.19.1",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "sklearn",
    "target": "wiki-aa-mlp.pkl",
    "source": "https://github.com/lutzroeder/netron/files/2674319/wiki-aa-mlp.pkl.zip[wiki-aa-mlp.pkl]",
    "format": "scikit-learn 0.19.0",
    "link":   "https://github.com/lutzroeder/netron/issues/182"
  },
  {
    "type":   "tengine",
    "target": "detect_tflite.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/detect_tflite.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "lighten_cnn.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/lighten_cnn.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "mobilenet.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/mobilenet.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "mobilenet_quant_tflite.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/mobilenet_quant_tflite.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "mobolenet_ssd_v1_quant_tflite.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/mobolenet_ssd_v1_quant_tflite.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "mobilenet_v1_tf.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/mobilenet_v1_tf.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "mobilenet_v2.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/mobilenet_v2.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "mobilenet_v2_tf.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/mobilenet_v2_tf.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "nasnet_tf.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/nasnet_tf.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "squeezenet.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/squeezenet.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
    "type":   "tengine",
    "target": "squeezenet_on.tmfile",
    "source": "https://raw.githubusercontent.com/pierricklee/tmfile-sample/master/squeezenet_on.tmfile",
    "format": "Tengine v2.0",
    "link":   "https://github.com/pierricklee/tmfile-sample"
  },
  {
      "type":   "tf",
      "target": "bert_uncased_L-12_H-768_A-12.meta",
      "source": "https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zip[uncased_L-12_H-768_A-12/bert_model.ckpt.meta]",
      "format": "TensorFlow MetaGraph", "producer": "TensorFlow v1.11.0-rc1",
      "render": "skip",
      "link":   "https://github.com/google-research/bert#pre-trained-models"
  },
  {
      "type":   "tf",
      "target": "bert_cased_L-24_H-1024_A-16.meta",
      "source": "https://storage.googleapis.com/bert_models/2018_10_18/cased_L-24_H-1024_A-16.zip[cased_L-24_H-1024_A-16/bert_model.ckpt.meta]",
      "format": "TensorFlow MetaGraph",
      "render": "skip",
      "link":   "https://github.com/google-research/bert#pre-trained-models"
  },
  {
    "type":   "tf",
    "target": "char-rnn-tensorflow.pb",
    "source": "https://github.com/lutzroeder/netron/files/2592462/char-rnn-tensorflow.pb.zip[char-rnn-tensorflow.pb]",
    "format": "TensorFlow Graph",
    "render": "skip",
    "link":   "https://github.com/lutzroeder/netron/issues/187"
  },
  {
    "type":   "tf",
    "target": "chessbot.pb",
    "source": "https://raw.githubusercontent.com/srom/chessbot/master/model/chessbot.pb",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/srom/chessbot"
  },
  {
    "type":   "tf",
    "target": "chessbot_estimator.pb",
    "source": "https://raw.githubusercontent.com/srom/chessbot/master/model/estimator.pb",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/srom/chessbot"
  },
  {
    "type":   "tf",
    "target": "chessbot_classifier.pb",
    "source": "https://raw.githubusercontent.com/srom/chessbot/master/model/classifier.pb",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/srom/chessbot"
  },
  {
    "type":   "tf",
    "target": "classify_image_graph_def.pb",
    "source": "https://raw.githubusercontent.com/taey16/tf/master/imagenet/classify_image_graph_def.pb",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/taey16/tf"
  },
  {
    "type":   "tf",
    "target": "conv-layers.pb.zip",
    "source": "https://github.com/lutzroeder/netron/files/2592468/conv-layers.pb.zip",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/187"
  },
  {
    "type":   "tf",
    "target": "densenet.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/densenet_2018_04_27.tgz[densenet/densenet.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/guide/hosted_models.md"
  },
  {
    "type":   "tf",
    "target": "exDeepFM-criteo.meta",
    "source": "https://raw.githubusercontent.com/Leavingseason/xDeepFM/master/exdeepfm/checkpoint/epoch_0.meta",
    "format": "TensorFlow MetaGraph",
    "render": "skip",
    "link":   "https://github.com/Leavingseason/xDeepFM"
  },
  {
    "type":   "tf",
    "target": "faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28_saved_model.pb",
    "source": "http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28.tar.gz[faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28/saved_model/saved_model.pb]",
    "format": "TensorFlow Saved Model v1",
    "render": "skip",
    "link":   "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example"
  },
  {
    "type":   "tf",
    "target": "faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28_frozen_inference.pb",
    "source": "http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28.tar.gz[faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28/frozen_inference_graph.pb]",
    "format": "TensorFlow Graph",
    "render": "skip",
    "link":   "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example"
  },
  {
    "type":   "tf",
    "target": "faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28.ckpt.meta",
    "source": "http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28.tar.gz[faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28/model.ckpt.meta]",
    "format": "TensorFlow MetaGraph",
    "render": "skip",
    "link":   "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example"
  },
  {
    "type":   "tf",
    "target": "faster_rcnn_resnet50_lowproposals_coco_2017_11_08_frozen_inference.pb",
    "source": "http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet50_lowproposals_coco_2017_11_08.tar.gz[faster_rcnn_resnet50_lowproposals_coco_2017_11_08/frozen_inference_graph.pb]",
    "render": "skip",
    "format": "TensorFlow Graph"
  },
  {
    "type":   "tf",
    "target": "faster_rcnn_resnet50_lowproposals_coco_2017_11_08.ckpt.meta",
    "source": "http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet50_lowproposals_coco_2017_11_08.tar.gz[faster_rcnn_resnet50_lowproposals_coco_2017_11_08/model.ckpt.meta]",
    "render": "skip",
    "format": "TensorFlow MetaGraph"
  },
  {
    "type":   "tf",
    "target": "faster_rcnn_resnet50_lowproposals_coco_2017_11_08_saved_model.pb",
    "source": "http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet50_lowproposals_coco_2017_11_08.tar.gz[faster_rcnn_resnet50_lowproposals_coco_2017_11_08/saved_model/saved_model.pb]",
    "render": "skip",
    "format": "TensorFlow Saved Model v1"
  },
  {
    "type":   "tf",
    "target": "graphdef_saved_model.pb",
    "source": "https://github.com/lutzroeder/netron/files/2528688/saved_model.zip[saved_model.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/171"
  },
  {
    "type":   "tf",
    "target": "half_plus_two_saved_model.pb",
    "source": "https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/cc/saved_model/testdata/half_plus_two/00000123/saved_model.pb",
    "format": "TensorFlow Saved Model v1",
    "link":   "https://github.com/tensorflow/tensorflow/tree/master/tensorflow/cc/saved_model/testdata"
  },
  {
    "type":   "tf",
    "target": "half_plus_two_main_op_saved_model.pb",
    "source": "https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/cc/saved_model/testdata/half_plus_two_main_op/00000123/saved_model.pb",
    "format": "TensorFlow Saved Model v1",
    "link":   "https://github.com/tensorflow/tensorflow/tree/master/tensorflow/cc/saved_model/testdata"
  },
  {
    "type":   "tf",
    "target": "half_plus_two_pbtxt_saved_model.pbtxt",
    "source": "https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/cc/saved_model/testdata/half_plus_two_pbtxt/00000123/saved_model.pbtxt",
    "format": "TensorFlow Saved Model v1",
    "link":   "https://github.com/tensorflow/tensorflow/tree/master/tensorflow/cc/saved_model/testdata"
  },
  {
    "type":   "tf",
    "target": "inception_v1_2016_08_28_frozen.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/inception_resnet_v2_2016_08_30_frozen.pb.tar.gz[inception_resnet_v2_2016_08_30_frozen.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/onnx/tensorflow-onnx/blob/master/tests/run_pretrained_models.yaml"
  },
  {
    "type":   "tf",
    "target": "inception_v1_2016_08_28_frozen.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/inception_v1_2016_08_28_frozen.pb.tar.gz[inception_v1_2016_08_28_frozen.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/onnx/tensorflow-onnx/blob/master/tests/run_pretrained_models.yaml"
  },
  {
    "type":   "tf",
    "target": "inception_v2_2016_08_28_frozen.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/inception_v2_2016_08_28_frozen.pb.tar.gz[inception_v2_2016_08_28_frozen.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/onnx/tensorflow-onnx/blob/master/tests/run_pretrained_models.yaml"
  },
  {
    "type":   "tf",
    "target": "inception_v3.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v3_2018_04_27.tgz[./inception_v3.pb]"
  },
  {
    "type":   "tf",
    "target": "inception_v3_2016_08_28_frozen.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz[inception_v3_2016_08_28_frozen.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/onnx/tensorflow-onnx/blob/master/tests/run_pretrained_models.yaml"
  },
  {
    "type":   "tf",
    "target": "inception_v4.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v4_2018_04_27.tgz[./inception_v4.pb]"
  },
  {
    "type":   "tf",
    "target": "inception5h.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip[tensorflow_inception_graph.pb]"
  },
  {
    "type":   "tf",
    "target": "inception_resnet_v2.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_resnet_v2_2018_04_27.tgz[./inception_resnet_v2.pb]"
  },
  {
    "type":   "tf",
    "target": "mask_rcnn_resnet50_atrous_coco_2018_01_28_saved_model.pb",
    "source": "http://download.tensorflow.org/models/object_detection/mask_rcnn_resnet50_atrous_coco_2018_01_28.tar.gz[mask_rcnn_resnet50_atrous_coco_2018_01_28/saved_model/saved_model.pb]",
    "format": "TensorFlow Saved Model v1",
    "render": "skip"
  },
  {
    "type":   "tf",
    "target": "mask_rcnn_resnet50_atrous_coco_2018_01_28_frozen_inference.pb",
    "source": "http://download.tensorflow.org/models/object_detection/mask_rcnn_resnet50_atrous_coco_2018_01_28.tar.gz[mask_rcnn_resnet50_atrous_coco_2018_01_28/frozen_inference_graph.pb]",
    "format": "TensorFlow Graph",
    "render": "skip"
  },
  {
    "type":   "tf",
    "target": "mask_rcnn_resnet50_atrous_coco_2018_01_28.ckpt.meta",
    "source": "http://download.tensorflow.org/models/object_detection/mask_rcnn_resnet50_atrous_coco_2018_01_28.tar.gz[mask_rcnn_resnet50_atrous_coco_2018_01_28/model.ckpt.meta]",
    "format": "TensorFlow MetaGraph",
    "render": "skip"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v1_1.0_224_frozen.pb",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224.tgz[./mobilenet_v1_1.0_224_frozen.pb]",
    "format": "TensorFlow Graph"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v1_1.0_224_eval.pbtxt",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224.tgz[./mobilenet_v1_1.0_224_eval.pbtxt]",
    "format": "TensorFlow Graph"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v1_1.0_224_quant_eval.pbtxt",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz[./mobilenet_v1_1.0_224_quant_eval.pbtxt]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v1_1.0_224_quant_frozen.pb",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz[./mobilenet_v1_1.0_224_quant_frozen.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v1_1.0_224_quant.ckpt.meta",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz[./mobilenet_v1_1.0_224_quant.ckpt.meta]",
    "format": "TensorFlow MetaGraph",
    "render": "skip",
    "link":   "https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v2_1.4_224_frozen.pb",
    "source": "https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.4_224.tgz[./mobilenet_v2_1.4_224_frozen.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v2_1.4_224.ckpt.meta",
    "source": "https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.4_224.tgz[./mobilenet_v2_1.4_224.ckpt.meta]",
    "format": "TensorFlow MetaGraph",
    "render": "skip",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "mobilenet_v2_1.4_224_eval.pbtxt",
    "source": "https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.4_224.tgz[./mobilenet_v2_1.4_224_eval.pbtxt]",
    "format": "TensorFlow Graph",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "mnasnet_0.5_224.pb",
    "source": "http://download.tensorflow.org/models/tflite/mnasnet_0.5_224_09_07_2018.tgz[mnasnet_0.5_224/mnasnet_0.5_224.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "mnasnet_1.3_224.pb",
    "source": "http://download.tensorflow.org/models/tflite/mnasnet_1.3_224_09_07_2018.tgz[mnasnet_1.3_224/mnasnet_1.3_224.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "nasnet_large.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_large_2018_04_27.tgz[./nasnet_large.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "nasnet_mobile.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_mobile_2018_04_27.tgz[./nasnet_mobile.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "netron_issue_110.pb",
    "source": "https://github.com/lutzroeder/netron/files/2592457/netron_issue_110.pb.zip[netron_issue_110.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/110"
  },
  {
    "type":   "tf",
    "target": "netron_issue_224.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/2823959/netron_issue_224.zip[netron_issue_224.pbtxt]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/224"
  },
  {
    "type":   "tf",
    "target": "netron_issue_291.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/3336368/netron_issue_291.zip[netron_issue_291.pbtxt]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/291"
  },
  {
    "type":   "tf",
    "target": "netron_issue_320.pb",
    "source": "https://github.com/lutzroeder/netron/files/3499707/netron_issue_320.zip[netron_issue_320.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/320"
  },
  {
    "type":   "tf",
    "target": "netron_issue_320.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/3499707/netron_issue_320.zip[netron_issue_320.pbtxt]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/320"
  },
  {
    "type":   "tf",
    "target": "netron_issue_323.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/3539403/graph.zip[graph.pbtxt]",
    "render": "skip",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/323"
  },
  {
    "type":   "tf",
    "target": "netron_issue_342.zip",
    "source": "https://github.com/lutzroeder/netron/files/3918584/netron_issue_342.zip",
    "format": "TensorFlow Saved Model v1",
    "link":   "https://github.com/lutzroeder/netron/issues/342"
  },
  {
    "type":   "tf",
    "target": "netron_issue_405.zip",
    "source": "https://github.com/lutzroeder/netron/files/4017943/netron_issue_405.zip",
    "format": "TensorFlow Tensor Bundle v2",
    "link":   "https://github.com/lutzroeder/netron/issues/405"
  },
  {
    "type":   "tf",
    "target": "pose_estimation_for_mobile.pb",
    "source": "https://raw.githubusercontent.com/edvardHua/PoseEstimationForMobile/master/release/cpm_model/model.pb",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/edvardHua/PoseEstimationForMobile"
  },
  {
    "type":   "tf",
    "target": "readable_graph.meta",
    "source": "https://github.com/lutzroeder/netron/files/2592463/readable_graph.meta.zip[readable_graph.meta]",
    "format": "TensorFlow MetaGraph",
    "link":   "https://github.com/lutzroeder/netron/issues/187"
  },
  {
    "type":   "tf",
    "target": "resnet_v1_50.pb",
    "source": "https://deepdetect.com/models/tf/resnet_v1_50/resnet_v1_50.pb",
    "format": "TensorFlow Graph",
    "link":   "https://deepdetect.com/models/tf"
  },
  {
    "type":   "tf",
    "target": "resnet_v1_50.ckpt",
    "source": "https://raw.githubusercontent.com/serre-lab/deeplabcut_mgh/master/deeplabcut/pose_estimation_tensorflow/models/pretrained/resnet_v1_50.ckpt",
    "format": "TensorFlow Tensor Bundle v1",
    "link":   "https://github.com/lutzroeder/netron/issues/405"
  },
  {
    "type":   "tf",
    "target": "resnet_v1_101.pb",
    "source": "https://deepdetect.com/models/tf/resnet_v1_101/resnet_v1_101.pb",
    "format": "TensorFlow Graph",
    "link":   "https://deepdetect.com/models/tf"
  },
  {
    "type":   "tf",
    "target": "resnet_v1_152.pb",
    "source": "https://deepdetect.com/models/tf/resnet_v1_152/resnet_v1_152.pb",
    "format": "TensorFlow Graph",
    "link":   "https://deepdetect.com/models/tf"
  },
  {
    "type":   "tf",
    "target": "resnet_v2_fp16_savedmodel_NHWC_saved_model.pb",
    "source": "http://download.tensorflow.org/models/official/20181001_resnet/savedmodels/resnet_v2_fp16_savedmodel_NHWC.tar.gz[./resnet_v2_fp16_savedmodel_NHWC/1538686978/saved_model.pb]",
    "render": "skip",
    "format": "TensorFlow Saved Model v1",
    "link":   "https://github.com/onnx/tensorflow-onnx/blob/master/tests/run_pretrained_models.yaml"
  },
  {
    "type":   "tf",
    "target": "resnet18_model_baseline.pbtxt",
    "source": "https://github.com/lutzroeder/netron/files/2913372/resnet18_model_baseline.pbtxt.zip[resnet18_model_baseline.pbtxt]",
    "render": "skip",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/lutzroeder/netron/issues/235"
  },
  {
    "type":   "tf",
    "target": "speech_commands_v0.pb",
    "source": "http://storage.googleapis.com/download.tensorflow.org/models/speech_commands_v0.01.zip[conv_actions_frozen.pb]",
    "format": "TensorFlow Graph"
  },
  {
    "type":   "tf",
    "target": "squeezenet.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz[./squeezenet.pb]"
  },
  {
    "type":   "tf",
    "target": "ssd_mobilenet_v1_android_export.pb",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_android_export.zip[ssd_mobilenet_v1_android_export.pb]",
    "format": "TensorFlow Graph",
    "render": "skip",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tf",
    "target": "ssd_mobilenet_v1_coco_11_06_2017_graph.pbtxt",
    "source": "http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_11_06_2017.tar.gz[ssd_mobilenet_v1_coco_11_06_2017/graph.pbtxt]",
    "format": "TensorFlow Graph",
    "render": "skip",
    "link":   "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example"
  },
  {
    "type":   "tf",
    "target": "ssd_mobilenet_v1_coco_11_06_2017_frozen_inference.pb",
    "source": "http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_11_06_2017.tar.gz[ssd_mobilenet_v1_coco_11_06_2017/frozen_inference_graph.pb]",
    "format": "TensorFlow Graph",
    "link":   "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example"
  },
  {
    "type":   "tf",
    "target": "ssd_mobilenet_v1_coco_11_06_2017.ckpt.meta",
    "source": "http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_11_06_2017.tar.gz[ssd_mobilenet_v1_coco_11_06_2017/model.ckpt.meta]",
    "format": "TensorFlow MetaGraph",
    "render": "skip",
    "link":   "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example"
  },
  {
    "type":   "tf",
    "target": "tensorflow_issue_9169_saved_model.pbtxt",
    "source": "https://github.com/tensorflow/tensorflow/files/917065/sample.zip[sample/load/saved_model.pbtxt]",
    "format": "TensorFlow Saved Model v1",
    "link":   "https://github.com/tensorflow/tensorflow/issues/9169"
  },
  {
    "type":   "tf",
    "target": "vgg_16.pb",
    "source": "https://deepdetect.com/models/tf/vgg_16/vgg_16.pb",
    "format": "TensorFlow Graph",
    "link":   "https://deepdetect.com/models/tf"
  },
  {
    "type":   "tf",
    "target": "vgg_19.pb",
    "source": "https://deepdetect.com/models/tf/vgg_19/vgg_19.pb",
    "format": "TensorFlow Graph",
    "link":   "https://deepdetect.com/models/tf"
  },
  {
    "type":   "tfjs",
    "target": "air-time-model/air-time-model.json",
    "source": "https://github.com/lutzroeder/netron/files/3170424/air-time-model.json.zip[air-time-model.json]",
    "format": "TensorFlow.js layers-model", "producer": "TensorFlow.js tfjs-layers v1.0.4",
    "link":   "https://github.com/lutzroeder/netron/issues/270"
  },
  {
    "type":   "tfjs",
    "target": "mnist_transfer_cnn_v1/model.json,mnist_transfer_cnn_v1/group1-shard1of1,mnist_transfer_cnn_v1/group2-shard1of1,mnist_transfer_cnn_v1/group3-shard1of1,mnist_transfer_cnn_v1/group4-shard1of1",
    "source": "https://github.com/lutzroeder/netron/files/3361048/mnist_transfer_cnn_v1.zip[model.json,group1-shard1of1,group2-shard1of1,group3-shard1of1,group4-shard1of1]",
    "format": "TensorFlow.js Keras v2.1.4",
    "link":   "https://github.com/tensorflow/tfjs-examples"
  },
  {
    "type":   "tfjs",
    "target": "mobilenet_v1_0.25_224/model.json",
    "source": "https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_0.25_224/model.json",
    "format": "TensorFlow.js Keras v2.1.4",
    "link":   "https://github.com/tensorflow/tfjs-examples"
  },
  {
    "type":   "tfjs",
    "target": "posenet_mobilenet_float_075/model-stride16.json,posenet_mobilenet_float_075/group1-shard1of2.bin,posenet_mobilenet_float_075/group1-shard2of2.bin",
    "source": "https://github.com/lutzroeder/netron/files/3357629/posenet_mobilenet_float_075.zip[model-stride16.json,group1-shard1of2.bin,group1-shard2of2.bin]",
    "format": "TensorFlow.js graph-model",
    "link":   "https://github.com/intel/webml-polyfill/issues/880"
  },
  {
    "type":   "tfjs",
    "target": "sentiment_cnn_v1/model.json",
    "source": "https://github.com/lutzroeder/netron/files/3361046/sentiment_cnn_v1.zip[model.json]",
    "format": "TensorFlow.js Keras v2.1.4",
    "link":   "https://github.com/tensorflow/tfjs-examples"
  },
  {
    "type":   "tfjs",
    "target": "translation_en_fr_v1/model.json",
    "source": "https://storage.googleapis.com/tfjs-models/tfjs/translation_en_fr_v1/model.json",
    "format": "TensorFlow.js Keras v2.1.4",
    "link":   "https://github.com/tensorflow/tfjs-examples"
  },
  {
    "type":   "tflite",
    "target": "deeplab_mobilenetv2_513.tflite",
    "source": "https://raw.githubusercontent.com/pinzhenx/webml-demo/master/examples/deeplab/model/deeplab_mobilenetv2_513.tflite",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/pinzhenx/webml-demo"
  },
  {
    "type":   "tflite",
    "target": "deeplab_mobilenetv2_513_dilated.tflite",
    "source": "https://raw.githubusercontent.com/pinzhenx/webml-demo/master/examples/deeplab/model/deeplab_mobilenetv2_513_dilated.tflite",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/pinzhenx/webml-demo"
  },
  {
    "type":   "tflite",
    "target": "densenet.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/densenet_2018_04_27.tgz[densenet/densenet.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "hair_segmentation.tflite",
    "source": "https://raw.githubusercontent.com/google/mediapipe/master/mediapipe/models/hair_segmentation.tflite",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/google/mediapipe"
  },
  {
    "type":   "tflite",
    "target": "inception_resnet_v2.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_resnet_v2_2018_04_27.tgz[./inception_resnet_v2.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "inception_v3.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v3_2018_04_27.tgz[./inception_v3.tflite]"
  },
  {
    "type":   "tflite",
    "target": "inception_v3_quant.tflite",
    "source": "http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz[inception_v3_quant.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "inception_v4.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v4_2018_04_27.tgz[./inception_v4.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "inception_v4_299_quant.tflite",
    "source": "http://download.tensorflow.org/models/inception_v4_299_quant_20181026.tgz[inception_v4_299_quant.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "inceptionv3_slim_2016.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/inception_v3_slim_2016_android_2017_11_10.zip[inceptionv3_slim_2016.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "invalid_html.tflite",
    "source": "https://github.com/lutzroeder/netron/files/4432789/invalid_html.tflite.zip[invalid_html.tflite]",
    "error":  "Invalid file content. File contains HTML markup.",
    "link":   "https://github.com/lutzroeder/netron/issues/458"
  },
  {
    "type":   "tflite",
    "target": "mobilenet_v1_1.0_224.tflite",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224.tgz[./mobilenet_v1_1.0_224.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "mobilenet_v1_1.0_224.lite",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224.tgz[./mobilenet_v1_1.0_224.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "mobilenet_v1_1.0_224_quant.tflite",
    "source": "http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz[./mobilenet_v1_1.0_224_quant.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "mobilenet_v2_0.4_224.tflite",
    "source": "https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.0_224.tgz[./mobilenet_v2_1.0_224.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "mobilenet_v2_1.4_224.tflite",
    "source": "https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.4_224.tgz[./mobilenet_v2_1.4_224.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "mnasnet_0.5_224.tflite",
    "source": "http://download.tensorflow.org/models/tflite/mnasnet_0.5_224_09_07_2018.tgz[mnasnet_0.5_224/mnasnet_0.5_224.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "mnasnet_1.3_224.tflite",
    "source": "http://download.tensorflow.org/models/tflite/mnasnet_1.3_224_09_07_2018.tgz[mnasnet_1.3_224/mnasnet_1.3_224.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "nasnet_mobile.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_mobile_2018_04_27.tgz[./nasnet_mobile.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "nasnet_large.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_large_2018_04_27.tgz[./nasnet_large.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "netron_issue_256.tflite",
    "source": "https://github.com/lutzroeder/netron/files/3101992/test.zip[test.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/lutzroeder/netron/issues/256"
  },
  {
    "type":   "tflite",
    "target": "netron_issue_386.tflite",
    "source": "https://github.com/lutzroeder/netron/files/3963415/netron_issue_386.zip[netron_issue_386.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/lutzroeder/netron/issues/386"
  },
  {
    "type":   "tflite",
    "target": "netron_issue_416.tflite",
    "source": "https://github.com/lutzroeder/netron/files/4089319/netron_issue_416.zip[netron_issue_416.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/lutzroeder/netron/issues/416"
  },
  {
    "type":   "tflite",
    "target": "pose_estimation_for_mobile.tflite",
    "source": "https://raw.githubusercontent.com/edvardHua/PoseEstimationForMobile/master/release/cpm_model/model.tflite",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/edvardHua/PoseEstimationForMobile"
  },
  {
    "type":   "tflite",
    "target": "resnet_v2_50.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/resnet_v2_50_2018_03_27.zip[resnet_v2_50.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/models.md"
  },
  {
    "type":   "tflite",
    "target": "resnet_v2_101.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/resnet_v2_101_2018_03_27.zip[resnet_v2_101.tflite]",
    "format": "TensorFlow Lite v3",
    "link":   "https://www.tensorflow.org/lite/models"
  },
  {
    "type":   "tflite",
    "target": "smartreply.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/smartreply_1.0_2017_11_01.zip[smartreply.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "smartreply_1.0_2017_11_01.zip",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/smartreply_1.0_2017_11_01.zip",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "squeezenet.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz[./squeezenet.tflite]",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "speech_hotword_model_rank1_2017_11_14.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/speech_hotword_model_rank1_2017_11_14.tflite",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "speech_hotword_model_rank2_2017_11_14.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/speech_hotword_model_rank2_2017_11_14.tflite",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "speech_speakerid_model_2017_11_14.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/speech_speakerid_model_2017_11_14.tflite",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "speech_tts_model_2017_11_14.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/speech_tts_model_2017_11_14.tflite",
    "format": "TensorFlow Lite v3"
  },
  {
    "type":   "tflite",
    "target": "text_classification.tflite",
    "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/text_classification/text_classification.tflite",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/models/text_classification/overview.md"
  },
  {
    "type":   "tflite",
    "target": "two_subgraphs.bin",
    "source": "https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/lite/testdata/two_subgraphs.bin",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/tensorflow/tensorflow"
  },
  {
    "type":   "tflite",
    "target": "xorGate.lite",
    "source": "https://raw.githubusercontent.com/kosslab-kr/Tizen-NN-Runtime/master/Xor/xorGate.lite",
    "format": "TensorFlow Lite v3",
    "link":   "https://github.com/kosslab-kr/Tizen-NN-Runtime"
  },
  {
    "type":   "torch",
    "target": "2ch_notredame.t7",
    "source": "https://s3.amazonaws.com/modelzoo-networks/cvpr2015matching_networks.tar.gz[2ch/2ch_notredame.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/szagoruyko/cvpr15deepcompare"
  },
  {
    "type":   "torch",
    "target": "2ch2stream_liberty.t7",
    "source": "https://s3.amazonaws.com/modelzoo-networks/cvpr2015matching_networks.tar.gz[2ch2stream/2ch2stream_liberty.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/szagoruyko/cvpr15deepcompare"
  },
  {
    "type":   "torch",
    "target": "2chdeep_yosemite.t7",
    "source": "https://s3.amazonaws.com/modelzoo-networks/cvpr2015matching_networks.tar.gz[2chdeep/2chdeep_yosemite.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/szagoruyko/cvpr15deepcompare"
  },
  {
    "type":   "torch",
    "target": "apple2orange.t7",
    "source": "https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/models/apple2orange.t7",
    "format": "Torch v7",
    "link":   "https://github.com/junyanz/CycleGAN"
  },
  {
    "type":   "torch",
    "target": "bedrooms_4_net_G.t7",
    "source": "https://github.com/soumith/lfs/raw/master/dcgan.torch/bedrooms_4_net_G.t7",
    "format": "Torch v7",
    "link":   "https://github.com/soumith/dcgan.torch"
  },
  {
    "type":   "torch",
    "target": "celebA_25_net_G.t7",
    "source": "https://github.com/soumith/lfs/raw/master/dcgan.torch/celebA_25_net_G.t7",
    "format": "Torch v7",
    "link":   "https://github.com/soumith/dcgan.torch"
  },
  {
    "type":   "torch",
    "target": "composition_vii.t7",
    "source": "https://cs.stanford.edu/people/jcjohns/fast-neural-style/models/eccv16/composition_vii.t7",
    "format": "Torch v7",
    "link":   "https://github.com/jcjohnson/fast-neural-style"
  },
  {
    "type":   "torch",
    "target": "cunet_art_14l_scale2.0x_model.t7",
    "source": "https://raw.githubusercontent.com/nagadomi/waifu2x/master/models/cunet/art/noise0_model.t7",
    "format": "Torch v7",
    "link":   "https://github.com/nagadomi/waifu2x"
  },
  {
    "type":   "torch",
    "target": "facades_photo2label.t7",
    "source": "https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/models/facades_photo2label.t7",
    "format": "Torch v7",
    "link":   "https://github.com/junyanz/CycleGAN"
  },
  {
    "type":   "torch",
    "target": "Helen_8x.t7",
    "source": "https://raw.githubusercontent.com/tyshiwo/FSRNet/master/models/Helen_8x.t7",
    "format": "Torch v7",
    "link":   "https://github.com/tyshiwo/FSRNet"
  },
  {
    "type":   "torch",
    "target": "inception.t7",
    "source": "https://raw.githubusercontent.com/cpra/fer-cnn-sota/master/models/inception.t7",
    "format": "Torch v7",
    "link":   "https://github.com/cpra/fer-cnn-sota"
  },
  {
    "type":   "torch",
    "target": "model-ende_epoch7_5.55_release.t7",
    "source": "https://s3.amazonaws.com/opennmt-models/wmt-ende_l2-h1024-bpe32k_release.tar.gz[model-ende_epoch7_5.55_release.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/OpenNMT/opennmt.github.io/issues/22"
  },
  {
    "type":   "torch",
    "target": "net_kitti2015_fast_-a_train_all.t7",
    "source": "https://github.com/lutzroeder/netron/files/3165404/net_kitti2015_fast_-a_train_all.t7.zip[net_kitti2015_fast_-a_train_all.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/lutzroeder/netron/issues/269"
  },
  {
    "type":   "torch",
    "target": "openface.nn4.small2.v1.t7",
    "source": "https://raw.githubusercontent.com/pyannote/pyannote-data/master/openface.nn4.small2.v1.t7",
    "format": "Torch v7",
    "link":   "https://github.com/pyannote/pyannote-data"
  },
  {
    "type":   "torch",
    "target": "resnet.t7",
    "source": "https://raw.githubusercontent.com/cpra/fer-cnn-sota/master/models/resnet.t7",
    "format": "Torch v7",
    "link":   "https://github.com/cpra/fer-cnn-sota"
  },
  {
    "type":   "torch",
    "target": "resnet-18.t7",
    "source": "https://d2j0dndfm35trm.cloudfront.net/resnet-18.t7",
    "format": "Torch v7",
    "link":   "https://github.com/facebook/fb.resnet.torch"
  },
  {
    "type":   "torch",
    "target": "resnet-50.t7",
    "source": "https://d2j0dndfm35trm.cloudfront.net/resnet-50.t7",
    "format": "Torch v7",
    "link":   "https://github.com/facebook/fb.resnet.torch"
  },
  {
    "type":   "torch",
    "target": "resnext_101_64x4d.t7",
    "source": "https://dl.fbaipublicfiles.com/resnext/imagenet_models/resnext_101_64x4d.t7",
    "format": "Torch v7",
    "link":   "https://github.com/facebookresearch/ResNeXt"
  },
  {
    "type":   "torch",
    "target": "resnet_photo_14l_scale2.0x_model.t7",
    "source": "https://raw.githubusercontent.com/nagadomi/waifu2x/master/models/resnet_14l/photo/scale2.0x_model.t7",
    "format": "Torch v7",
    "link":   "https://github.com/nagadomi/waifu2x"
  },
  {
    "type":   "torch",
    "target": "rnnTracker_r300_l1_n1_m1_d4.t7",
    "source": "https://raw.githubusercontent.com/aghagol/minimal_rnntracking_deploy/master/bin/rnnTracker_r300_l1_n1_m1_d4.t7",
    "format": "Torch v7",
    "link":   "https://github.com/aghagol"
  },
  {
    "type":   "torch",
    "target": "siam_liberty.t7",
    "source": "https://s3.amazonaws.com/modelzoo-networks/cvpr2015matching_networks.tar.gz[siam/siam_liberty.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/szagoruyko/cvpr15deepcompare"
  },
  {
    "type":   "torch",
    "target": "siam2stream_notredame.t7",
    "source": "https://s3.amazonaws.com/modelzoo-networks/cvpr2015matching_networks.tar.gz[siam2stream/siam2stream_notredame.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/szagoruyko/cvpr15deepcompare"
  },
  {
    "type":   "torch",
    "target": "soundnet5_final.t7",
    "source": "http://data.csail.mit.edu/soundnet/soundnet_models_public.zip[soundnet_models_public/soundnet5_final.t7]",
    "format": "Torch v7",
    "link":   "https://github.com/afperezm/acoustic-images-distillation"
  },
  {
    "type":   "torch",
    "target": "upconv_7l_photo_scale2.0x_model.t7",
    "source": "https://raw.githubusercontent.com/nagadomi/waifu2x/master/models/upconv_7l/photo/scale2.0x_model.t7",
    "format": "Torch v7",
    "link":   "https://github.com/nagadomi/waifu2x"
  },
  {
    "type":   "torch",
    "target": "uni_image_np_50.t7",
    "source": "https://polybox.ethz.ch/index.php/s/0SEdZqkn433dbEh/download",
    "format": "Torch v7",
    "link":   "https://github.com/simonwsw/deep-soli"
  },
  {
    "type":   "torch",
    "target": "vgg.t7",
    "source": "https://raw.githubusercontent.com/cpra/fer-cnn-sota/master/models/vgg.t7",
    "format": "Torch v7",
    "link":   "https://github.com/cpra/fer-cnn-sota"
  },
  {
    "type":   "torch",
    "target": "vgg16.t7",
    "source": "https://cs.stanford.edu/people/jcjohns/fast-neural-style/models/vgg16.t7",
    "format": "Torch v7",
    "link":   "https://github.com/jcjohnson/fast-neural-style"
  }
]