[ { "target": "onnx/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" }, { "target": "onnx/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" }, { "target": "onnx/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" }, { "target": "onnx/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" }, { "target": "onnx/bvlc_alexnet_opset_9.shape.onnx", "status": "script", "script": [ "${root}/tools/onnx", "sync install infer ${root}/test/data/onnx/bvlc_alexnet_opset_9.onnx" ], "format": "ONNX v3" }, { "target": "onnx/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" }, { "target": "onnx/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]" }, { "target": "onnx/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" }, { "target": "onnx/densenet121_opset_9.tar.gz", "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/densenet121.tar.gz" }, { "target": "onnx/densenet121_opset_9.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/densenet121.tar.gz[densenet121/model.onnx]" }, { "target": "onnx/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]" }, { "target": "onnx/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" }, { "target": "onnx/inception_v1_opset_9.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/inception_v1.tar.gz[inception_v1/model.onnx]" }, { "target": "onnx/inception_v2_opset_6.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_6/inception_v2.tar.gz[inception_v2/model.onnx]" }, { "target": "onnx/inception_v2_opset_8.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_8/inception_v2.tar.gz[inception_v2/model.onnx]" }, { "target": "onnx/inception_v2_opset_9.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/inception_v2.tar.gz[inception_v2/model.onnx]" }, { "target": "onnx/Kmeans.onnx", "source": "https://raw.githubusercontent.com/dotnet/machinelearning/master/test/BaselineOutput/Common/Onnx/Cluster/BreastCancer/Kmeans.onnx", "format": "ONNX v3", "producer": "ML.NET 0.7.27009.0", "link": "https://github.com/dotnet/machinelearning/tree/master/test/BaselineOutput/Common/Onnx/Cluster/BreastCancer" }, { "target": "onnx/Kmeans.pbtxt", "status": "script", "script": [ "${root}/tools/onnx", "sync install convert ${root}/test/data/onnx/Kmeans.onnx" ], "format": "ONNX v3" }, { "target": "onnx/mnist_opset_9.onnx", "source": "https://onnxzoo.blob.core.windows.net/models/opset_8/mnist/mnist.tar.gz[mnist/model.onnx]" }, { "target": "onnx/resnet50_opset_9.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/resnet50.tar.gz[resnet50/model.onnx]" }, { "target": "onnx/resnet50v2.onnx", "source": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet50v2/resnet50v2.onnx" }, { "target": "onnx/ResNet101_DUC_HDC.onnx", "source": "https://s3.amazonaws.com/onnx-model-zoo/duc/ResNet101_DUC_HDC.onnx" }, { "target": "onnx/squeezenet.onnx", "source": "https://raw.githubusercontent.com/onnx/tutorials/master/tutorials/assets/squeezenet.onnx" }, { "target": "onnx/squeezenet1.1.onnx", "source": "https://s3.amazonaws.com/onnx-model-zoo/squeezenet/squeezenet1.1/squeezenet1.1.onnx" }, { "target": "onnx/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]" }, { "target": "onnx/YOLOv2_tiny.onnx", "source": "https://raw.githubusercontent.com/tkat0/chainer-nnvm-example/master/models/YOLOv2_tiny/YOLOv2_tiny.onnx" }, { "target": "onnx/vgg16.onnx", "source": "https://s3.amazonaws.com/onnx-model-zoo/vgg/vgg16/vgg16.onnx", "link": "https://github.com/onnx/models/tree/master/models/image_classification/vgg" }, { "target": "onnx/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/models/image_classification/vgg" }, { "target": "onnx/vgg19.onnx", "source": "https://s3.amazonaws.com/onnx-model-zoo/vgg/vgg19/vgg19.onnx", "link": "https://github.com/onnx/models/tree/master/models/image_classification/vgg" }, { "target": "onnx/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/models/image_classification/vgg" }, { "target": "onnx/vgg19_opset_9.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/vgg19.tar.gz[vgg19/model.onnx]" }, { "target": "onnx/zfnet512_opset_9.onnx", "source": "https://s3.amazonaws.com/download.onnx/models/opset_9/zfnet512.tar.gz[zfnet512/model.onnx]" }, { "target": "caffe/1D_lstm.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/1D_lstm.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/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" }, { "target": "caffe/alexnet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/alexnet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/bvlc_reference_rcnn_ilsvrc13.caffemodel", "source": "http://dl.caffe.berkeleyvision.org/bvlc_reference_rcnn_ilsvrc13.caffemodel", "format": "Caffe v1", "link": "https://github.com/BVLC/caffe/tree/master/models/bvlc_reference_rcnn_ilsvrc13" }, { "target": "caffe/caffenet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/caffenet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/cifar10_full_sigmoid_solver_bn.prototxt,caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/DenseNet_121.caffemodel", "source": "https://drive.google.com/uc?export=download&id=0B7ubpZO7HnlCcHlfNmJkU2VPelE", "format": "Caffe v2", "link": "https://github.com/shicai/DenseNet-Caffe" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/dpn92.caffemodel", "source": "https://drive.google.com/uc?export=download&id=0B9mkjlmP0d7zTmh2M3RKSVFTWjQ", "format": "Caffe v2", "link": "https://github.com/soeaver/caffe-model/tree/master/cls#performance-on-imagenet-validation" }, { "target": "caffe/EmotiW_VGG_S.caffemodel", "source": "https://drive.google.com/uc?export=download&id=0BydFau0VP3XSNVYtWnNPMU1TOGM", "format": "Caffe v2", "link": "https://gist.github.com/GilLevi/54aee1b8b0397721aa4b" }, { "target": "caffe/fasterRCNN_AlexNet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_AlexNet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/fasterRCNN_ResNet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_ResNet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/fasterRCNN_VGG.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_VGG.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/fasterRCNN_ZynqNet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fasterRCNN_ZynqNet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/fcn-16s.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/fcn-16s.prototxt", "format": "Caffe v1", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/fcn8s-heavy-pascal.caffemodel", "source": "http://dl.caffe.berkeleyvision.org/fcn8s-heavy-pascal.caffemodel", "format": "Caffe v2" }, { "target": "caffe/fcn16s-heavy-pascal.caffemodel", "source": "http://dl.caffe.berkeleyvision.org/fcn16s-heavy-pascal.caffemodel", "format": "Caffe v2" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/gender_net.caffemodel", "source": "https://raw.githubusercontent.com/eveningglow/age-and-gender-classification/master/model/gender_net.caffemodel", "format": "Caffe v1", "link": "https://github.com/eveningglow/age-and-gender-classification" }, { "target": "caffe/googlenet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/googlenet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/googlenet_finetune_web_car_iter_10000.caffemodel", "source": "http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/googlenet_finetune_web_car_iter_10000.caffemodel", "format": "Caffe v1", "link": "https://gist.github.com/bogger/b90eb88e31cd745525ae" }, { "target": "caffe/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" }, { "target": "caffe/hybridCNN_iter_700000_upgraded.caffemodel", "source": "http://places.csail.mit.edu/model/hybridCNN_upgraded.tar.gz[hybridCNN_iter_700000_upgraded.caffemodel]", "format": "Caffe v1", "link": "http://places.csail.mit.edu/downloadCNN.html" }, { "target": "caffe/inception-v3.caffemodel", "source": "https://drive.google.com/uc?export=download&id=0B9mkjlmP0d7zRktmbmNZeTVBZVk", "format": "Caffe v2", "link": "https://github.com/soeaver/caffe-model/tree/master/cls#performance-on-imagenet-validation" }, { "target": "caffe/inception-v4.caffemodel", "source": "https://drive.google.com/uc?export=download&id=0B9mkjlmP0d7zNWZEaU8wMEQ2dWM", "format": "Caffe v2", "link": "https://github.com/soeaver/caffe-model/tree/master/cls#performance-on-imagenet-validation" }, { "target": "caffe/inceptionv3.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv3.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/inceptionv3_orig.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv3_orig.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/inceptionv4.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv4.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/inceptionv4_resnet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv4_resnet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/inceptionv4_resnet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/inceptionv4_resnet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/lstm.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/lstm.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/mobilenet.caffemodel", "source": "https://raw.githubusercontent.com/shicai/MobileNet-Caffe/master/mobilenet.caffemodel", "format": "Caffe v2", "link": "https://github.com/shicai/MobileNet-Caffe" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/mnist_siamese_solver.prototxt,caffe/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" }, { "target": "caffe/nin.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/nin.prototxt", "format": "Caffe v1", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/nin_imagenet.caffemodel", "source": "https://www.dropbox.com/s/0cidxafrb2wuwxw/nin_imagenet.caffemodel?dl=1", "format": "Caffe v1", "link": "https://github.com/natanielruiz/net-archive/tree/master/nin_imagenet" }, { "target": "caffe/pascalcontext-fcn32s-heavy.caffemodel", "source": "http://dl.caffe.berkeleyvision.org/pascalcontext-fcn32s-heavy.caffemodel", "format": "Caffe v2" }, { "target": "caffe/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" }, { "target": "caffe/places205CNN_iter_300000_upgraded.caffemodel", "source": "http://places.csail.mit.edu/model/placesCNN_upgraded.tar.gz[places205CNN_iter_300000_upgraded.caffemodel]", "format": "Caffe v1", "link": "http://places.csail.mit.edu/downloadCNN.html" }, { "target": "caffe/s2s_vgg_pstream_allvocab_fac2_iter_16000.caffemodel", "source": "https://www.dropbox.com/s/raw/wn6k2oqurxzt6e2/s2s_vgg_pstream_allvocab_fac2_iter_16000.caffemodel", "format": "Caffe v1", "link": "https://github.com/truongthanhdat/Video2Text", "status": "fail" }, { "target": "caffe/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" }, { "target": "caffe/se_resnet_50_v1.caffemodel", "source": "https://drive.google.com/uc?export=download&id=0B7ubpZO7HnlCWkwtSG5CdXBKcmc", "format": "Caffe v2", "link": "https://github.com/shicai/SENet-Caffe" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/sq11b2a_e3.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/sq11b2a_e3.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/squeezenet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/squeezenet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/squeezenet_v11.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/squeezenet_v11.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/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" }, { "target": "caffe/SSD300.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/SSD300.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/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" }, { "target": "caffe/vanillaCNN.caffemodel", "source": "https://raw.githubusercontent.com/ishay2b/VanillaCNN/master/ZOO/vanillaCNN.caffemodel", "format": "Caffe v2", "link": "https://gist.github.com/ishay2b/58248e5f3c3bf575ac40" }, { "target": "caffe/vgg-16.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/vgg-16.prototxt", "format": "Caffe v1", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/VGG_CNN_M_2048.caffemodel", "source": "http://www.robots.ox.ac.uk/~vgg/software/deep_eval/releases/bvlc/VGG_CNN_M_2048.caffemodel", "format": "Caffe v1", "link": "https://github.com/natanielruiz/net-archive" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/YOLO.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/YOLO.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/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" }, { "target": "caffe/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" }, { "target": "caffe/zynqnet.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/zynqnet.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe2/bvlc_alexnet/predict_net.pb,caffe2/bvlc_alexnet/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/bvlc_alexnet/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/bvlc_alexnet/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/bvlc_alexnet/predict_net.pbtxt,caffe2/bvlc_alexnet/init_net.pb", "source": "https://raw.githubusercontent.com/caffe2/models/master/bvlc_alexnet/predict_net.pbtxt,https://media.githubusercontent.com/media/caffe2/models/master/bvlc_alexnet/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/bvlc_googlenet/predict_net.pb,caffe2/bvlc_googlenet/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/bvlc_googlenet/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/bvlc_googlenet/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/bvlc_reference_caffenet/predict_net.pb,caffe2/bvlc_reference_caffenet/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/bvlc_reference_caffenet/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/bvlc_reference_caffenet/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/bvlc_reference_rcnn_ilsvrc13/predict_net.pb,caffe2/bvlc_reference_rcnn_ilsvrc13/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/bvlc_reference_rcnn_ilsvrc13/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/bvlc_reference_rcnn_ilsvrc13/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/densenet121/predict_net.pb,caffe2/densenet121/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/densenet121/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/densenet121/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/detectron/predict_net.pb,caffe2/detectron/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/detectron/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/detectron/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/finetune_flickr_style/predict_net.pb,caffe2/finetune_flickr_style/init_net.pb", "source": "https://media.githubusercontent.com/media/zyddawn/caffe2-models/master/finetune_flickr_style/predict_net.pb,https://media.githubusercontent.com/media/zyddawn/caffe2-models/master/finetune_flickr_style/init_net.pb", "format": "Caffe2", "link": "https://github.com/zyddawn/caffe2-models" }, { "target": "caffe2/inception_v1/predict_net.pb,caffe2/inception_v1/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/inception_v1/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/inception_v1/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/inception_v2/predict_net.pb,caffe2/inception_v2/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/inception_v2/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/inception_v2/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/mobilenet_v2/predict_net.pb,caffe2/mobilenet_v2/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/mobilenet_v2/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/mobilenet_v2/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/mobilenet_v2/predict_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/mobilenet_v2/predict_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/mobilenet_v2_quantized/predict_net.pb,caffe2/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" }, { "target": "caffe2/onnx_while/predict_net.pb,caffe2/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" }, { "target": "caffe2/resnet50/predict_net.pb,caffe2/resnet50/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/resnet50/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/resnet50/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/shufflenet/predict_net.pb,caffe2/shufflenet/init_net.pb", "source": "https://media.githubusercontent.com/media/zyddawn/caffe2-models/master/shufflenet/predict_net.pb,https://media.githubusercontent.com/media/zyddawn/caffe2-models/master/shufflenet/init_net.pb", "format": "Caffe2", "link": "https://github.com/zyddawn/caffe2-models" }, { "target": "caffe2/squeezenet/predict_net.pb,caffe2/squeezenet/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/squeezenet/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/squeezenet/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/vgg19/predict_net.pb,caffe2/vgg19/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/vgg19/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/vgg19/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "caffe2/zfnet512/predict_net.pb,caffe2/zfnet512/init_net.pb", "source": "https://media.githubusercontent.com/media/caffe2/models/master/zfnet512/predict_net.pb,https://media.githubusercontent.com/media/caffe2/models/master/zfnet512/init_net.pb", "format": "Caffe2", "link": "https://github.com/caffe2/models" }, { "target": "keras/DenseNet121.h5", "link": "https://keras.io/applications", "script": [ "${root}/tools/keras", "sync install zoo" ], "status": "script" }, { "target": "keras/InceptionResNetV2.h5", "link": "https://keras.io/applications", "script": [ "${root}/tools/keras", "sync install zoo" ], "status": "script" }, { "target": "keras/InceptionV3.h5", "link": "https://keras.io/applications", "script": [ "${root}/tools/keras", "sync install zoo" ], "status": "script" }, { "target": "keras/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" }, { "target": "keras/MobileNetV2.h5", "link": "https://keras.io/applications", "script": [ "${root}/tools/keras", "sync install zoo" ], "status": "script" }, { "target": "keras/NASNetMobile.h5", "link": "https://keras.io/applications", "script": [ "${root}/tools/keras", "sync install zoo" ], "status": "script" }, { "target": "keras/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" }, { "target": "keras/tiramisu_fc_dense103_model.json", "source": "https://raw.githubusercontent.com/0bserver07/One-Hundred-Layers-Tiramisu/master/tiramisu_fc_dense103_model.json", "format": "Keras", "link": "https://github.com/0bserver07/One-Hundred-Layers-Tiramisu" }, { "target": "keras/VGG16.h5", "link": "https://keras.io/applications", "script": [ "${root}/tools/keras", "sync install zoo" ], "status": "script" }, { "target": "keras/VGG19.h5", "link": "https://keras.io/applications", "script": [ "${root}/tools/keras", "sync install zoo" ], "status": "script" }, { "target": "cntk/v1/AlexNet.model", "source": "https://www.cntk.ai/Models/AlexNet/AlexNet.model", "format": "CNTK v1.14" }, { "target": "cntk/v1/AlexNetBS.model", "source": "https://www.cntk.ai/Models/AlexNet/AlexNetBS.model", "format": "CNTK v1.15" }, { "target": "cntk/v1/ResNet_18.model", "source": "https://www.cntk.ai/Models/ResNet/ResNet_18.model", "format": "CNTK v1.17" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/v2/AlexNet_ImageNet_CNTK.model", "source": "https://www.cntk.ai/Models/CNTK_Pretrained/AlexNet_ImageNet_CNTK.model" }, { "target": "cntk/v2/Bean.model", "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" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/v2/ResNet34_ImageNet_CNTK.model", "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet34_ImageNet_CNTK.model" }, { "target": "cntk/v2/ResNet50_ImageNet_CNTK.model", "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet50_ImageNet_CNTK.model" }, { "target": "cntk/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" }, { "target": "cntk/v2/ResNet101_ImageNet_CNTK.model", "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet101_ImageNet_CNTK.model", "format": "CNTK v2" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/v2/ResNet152_ImageNet_CNTK.model", "source": "https://www.cntk.ai/Models/CNTK_Pretrained/ResNet152_ImageNet_CNTK.model" }, { "target": "cntk/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" }, { "target": "cntk/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" }, { "target": "cntk/v2/VGG16_ImageNet_Caffe.model", "source": "https://www.cntk.ai/Models/Caffe_Converted/VGG16_ImageNet_Caffe.model" }, { "target": "cntk/v2/VGG19_ImageNet_Caffe.model", "source": "https://www.cntk.ai/Models/Caffe_Converted/VGG19_ImageNet_Caffe.model" }, { "target": "cntk/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" }, { "target": "coreml/AgeNet.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/AgeNet.mlmodel" }, { "target": "coreml/AnimeScale2x.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/AnimeScale2x.mlmodel" }, { "target": "coreml/DocumentClassification.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/DocumentClassification.mlmodel" }, { "target": "coreml/CarRecognition.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/CarRecognition.mlmodel" }, { "target": "coreml/CNNEmotions.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/CNNEmotions.mlmodel" }, { "target": "coreml/Exermote.mlmodel", "source": "https://raw.githubusercontent.com/Lausbert/Exermote/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel" }, { "target": "coreml/Food101.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/Food101.mlmodel" }, { "target": "coreml/FlickrStyle.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/FlickrStyle.mlmodel" }, { "target": "coreml/FNS-Candy.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/FNS-Candy.mlmodel" }, { "target": "coreml/FNS-Feathers.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/FNS-Feathers.mlmodel" }, { "target": "coreml/FNS-La-Muse.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/FNS-La-Muse.mlmodel" }, { "target": "coreml/FNS-Mosaic.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/FNS-Mosaic.mlmodel" }, { "target": "coreml/FNS-The-Scream.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/FNS-The-Scream.mlmodel" }, { "target": "coreml/FNS-Udnie.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/FNS-Udnie.mlmodel" }, { "target": "coreml/GenderNet.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/GenderNet.mlmodel" }, { "target": "coreml/GestureAI.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/GestureAI.mlmodel" }, { "target": "coreml/HED_so.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/HED_so.mlmodel" }, { "target": "coreml/HED_so3.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/HED_so3.mlmodel" }, { "target": "coreml/HED_fuse.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/HED_fuse.mlmodel" }, { "target": "coreml/MessageClassifier.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/MessageClassifier.mlmodel" }, { "target": "coreml/MNIST.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/MNIST.mlmodel" }, { "target": "coreml/MobileNet.mlmodel", "source": "https://docs-assets.developer.apple.com/coreml/models/MobileNet.mlmodel" }, { "target": "coreml/NamesDT.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/NamesDT.mlmodel" }, { "target": "coreml/Nudity.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/Nudity.mlmodel" }, { "target": "coreml/onehot_simple.mlmodel", "source": "https://raw.githubusercontent.com/onnx/onnxmltools/master/tests/data/onehot_simple.mlmodel" }, { "target": "coreml/SentimentPolarity.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/SentimentPolarity.mlmodel" }, { "target": "coreml/SqueezeNet.mlmodel", "source": "https://docs-assets.developer.apple.com/coreml/models/SqueezeNet.mlmodel" }, { "target": "coreml/GoogLeNetPlaces.mlmodel", "source": "https://docs-assets.developer.apple.com/coreml/models/GoogLeNetPlaces.mlmodel" }, { "target": "coreml/Resnet50.mlmodel", "source": "https://docs-assets.developer.apple.com/coreml/models/Resnet50.mlmodel" }, { "target": "coreml/Inceptionv3.mlmodel", "source": "https://docs-assets.developer.apple.com/coreml/models/Inceptionv3.mlmodel" }, { "target": "coreml/Oxford102.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/Oxford102.mlmodel" }, { "target": "caffe/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" }, { "target": "caffe/ResNet-34.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/ResNet-34.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/resnet-50.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/resnet-50.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/ResNet-50-model.caffemodel", "source": "https://deepdetect.com/models/resnet/ResNet-50-model.caffemodel", "format": "Caffe v2", "link": "https://deepdetect.com/models/resnet/" }, { "target": "caffe/ResNet-50-deploy.prototxt", "source": "https://deepdetect.com/models/resnet/ResNet-50-deploy.prototxt", "format": "Caffe v2", "link": "https://deepdetect.com/models/resnet/" }, { "target": "caffe/ResNet-50_merged.qconv.winograd.cwl.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/ResNet-50_merged.qconv.winograd.cwl.prototxt", "error": "File text format is not caffe.NetParameter (Unknown field 'evaluation_method' at 13:3) in 'ResNet-50_merged.qconv.winograd.cwl.prototxt'.", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/ResNet-101-deploy.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/ResNet-101-deploy.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "caffe/ResNet-101-model.caffemodel", "source": "https://deepdetect.com/models/resnet/ResNet-101-model.caffemodel", "format": "Caffe v2", "link": "https://deepdetect.com/models/resnet/" }, { "target": "caffe/ResNet-152-model.caffemodel", "source": "https://deepdetect.com/models/resnet/ResNet-152-model.caffemodel", "format": "Caffe v2", "link": "https://deepdetect.com/models/resnet/" }, { "target": "caffe/ResNet-152-deploy.prototxt", "source": "https://deepdetect.com/models/resnet/ResNet-152-deploy.prototxt", "format": "Caffe v2", "link": "https://deepdetect.com/models/resnet/" }, { "target": "caffe/resnet-152.prototxt", "source": "https://raw.githubusercontent.com/cwlacewe/netscope/master/presets/resnet-152.prototxt", "format": "Caffe v2", "link": "https://github.com/cwlacewe/netscope" }, { "target": "coreml/RN1015k500.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/RN1015k500.mlmodel" }, { "target": "coreml/TinyYOLO.mlmodel", "source": "https://raw.githubusercontent.com/hollance/YOLO-CoreML-MPSNNGraph/master/TinyYOLO-CoreML/TinyYOLO-CoreML/TinyYOLO.mlmodel" }, { "target": "coreml/VGG16.mlmodel", "source": "https://docs-assets.developer.apple.com/coreml/models/VGG16.mlmodel" }, { "target": "coreml/VisualSentimentCNN.mlmodel", "source": "https://s3-us-west-2.amazonaws.com/coreml-models/VisualSentimentCNN.mlmodel" }, { "target": "mxnet/arcface-resnet100.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-arcface/arcface-resnet100.model" }, { "target": "mxnet/bvlc_alexnet-symbol.json", "source": "http://s3.amazonaws.com/store.carml.org/models/mxnet/bvlc_alexnet/bvlc_alexnet-symbol.json", "format": "MXNet v0.10.0", "link": "https://github.com/rai-project/mxnet/blob/master/builtin_models/BVLC-AlexNet.yml" }, { "target": "mxnet/caffenet.model", "source": "https://s3.amazonaws.com/model-server/models/caffenet/caffenet.model" }, { "target": "mxnet/caffenet-symbol.json", "source": "http://data.dmlc.ml/mxnet/models/imagenet/caffenet/caffenet-symbol.json", "format": "MXNet", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/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" }, { "target": "mxnet/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" }, { "target": "mxnet/ferplus.model", "source": "https://s3.amazonaws.com/model-server/models/FERPlus/ferplus.model" }, { "target": "mxnet/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" }, { "target": "mxnet/inception_v1.model", "source": "https://s3.amazonaws.com/model-server/models/onnx-inception_v1/inception_v1.model" }, { "target": "mxnet/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" }, { "target": "mxnet/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" }, { "target": "mxnet/Inception-BN.model", "source": "https://s3.amazonaws.com/model-server/models/inception-bn/Inception-BN.model" }, { "target": "mxnet/Inception-BN-symbol.json", "source": "http://data.dmlc.ml/models/imagenet/inception-bn/Inception-BN-symbol.json", "format": "MXNet", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/lstm_ptb.model", "source": "https://s3.amazonaws.com/model-server/models/lstm_ptb/lstm_ptb.model" }, { "target": "mxnet/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" }, { "target": "mxnet/nin.model", "source": "https://s3.amazonaws.com/model-server/models/nin/nin.model" }, { "target": "mxnet/nin-symbol.json", "source": "http://data.dmlc.ml/models/imagenet/nin/nin-symbol.json", "format": "MXNet", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/resnet-18.model", "source": "https://s3.amazonaws.com/model-server/models/resnet-18/resnet-18.model" }, { "target": "mxnet/resnet-50-symbol.json", "source": "http://data.mxnet.io/models/imagenet/resnet/50-layers/resnet-50-symbol.json", "format": "MXNet", "link": "https://github.com/awslabs/deeplearning-benchmark/blob/master/image_classification/common/modelzoo.py" }, { "target": "mxnet/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" }, { "target": "mxnet/resnet-152.model", "source": "https://s3.amazonaws.com/model-server/models/resnet-152/resnet-152.model" }, { "target": "mxnet/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" }, { "target": "mxnet/resnet50_ssd_model.model", "source": "https://s3.amazonaws.com/model-server/models/resnet50_ssd/resnet50_ssd_model.model" }, { "target": "mxnet/ResNet_DUC_HDC.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-duc/ResNet_DUC_HDC.model" }, { "target": "mxnet/RN101-5k500-symbol.json,mxnet/RN101-5k500-0012.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" }, { "target": "mxnet/mobilenetv2-1.0.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-mobilenet/mobilenetv2-1.0.model" }, { "target": "mxnet/resnet101v1.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet101v1.model" }, { "target": "mxnet/resnet101v2.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet101v2.model" }, { "target": "mxnet/resnet152v1.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet152v1.model" }, { "target": "mxnet/resnet152v2.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet152v2.model" }, { "target": "mxnet/resnet18v1.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet18v1.model" }, { "target": "mxnet/resnet18v2.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet18v2.model" }, { "target": "mxnet/resnet34v1.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet34v1.model" }, { "target": "mxnet/resnet34v2.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet34v2.model" }, { "target": "mxnet/resnet50v1.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv1/resnet50v1.model" }, { "target": "mxnet/resnet50v2.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-resnetv2/resnet50v2.model" }, { "target": "mxnet/resnext-101-64x4d.model", "source": "https://s3.amazonaws.com/model-server/models/resnext-101-64x4d/resnext-101-64x4d.model" }, { "target": "mxnet/resnext-101-64x4d-symbol.json", "source": "http://data.dmlc.ml/models/imagenet/resnext/101-layers/resnext-101-64x4d-symbol.json", "format": "MXNet v0.9.4", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/resnet-152-symbol.json", "source": "http://data.dmlc.ml/models/imagenet/resnet/152-layers/resnet-152-symbol.json", "format": "MXNet", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/squeezenet.model", "source": "https://s3.amazonaws.com/model-server/models/onnx-squeezenet/squeezenet.model" }, { "target": "mxnet/squeezenet_v1.1.model", "source": "https://s3.amazonaws.com/model-server/models/squeezenet_v1.1/squeezenet_v1.1.model" }, { "target": "mxnet/squeezenet_v1.1-symbol.json", "source": "http://data.dmlc.ml/models/imagenet/squeezenet/squeezenet_v1.1-symbol.json", "format": "MXNet", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/vgg16.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-vgg16/vgg16.model" }, { "target": "mxnet/vgg16-symbol.json", "source": "http://data.dmlc.ml/models/imagenet/vgg/vgg16-symbol.json", "format": "MXNet", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/vgg16_bn.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-vgg16_bn/vgg16_bn.model" }, { "target": "mxnet/vgg19.model", "source": "https://s3.amazonaws.com/model-server/models/onnx-vgg19/vgg19.model" }, { "target": "mxnet/vgg19-symbol.json", "source": "http://data.dmlc.ml/models/imagenet/vgg/vgg19-symbol.json", "format": "MXNet", "link": "https://mxnet.apache.org/model_zoo/index.html" }, { "target": "mxnet/vgg19_bn.model", "source": "https://s3.amazonaws.com/mxnet-model-server/onnx-vgg19_bn/vgg19_bn.model" }, { "target": "pytorch/alexnet.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/densenet161.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/densenet121.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/inception_v3.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/resnet18.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/resnet50.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/resnet50.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/squeezenet1_0.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/vgg11_bn.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "pytorch/vgg16.pth", "link": "https://pytorch.org/docs/stable/torchvision/models.html", "script": [ "${root}/tools/pytorch", "sync install zoo" ], "status": "script" }, { "target": "tf/chessbot.pb", "source": "https://raw.githubusercontent.com/srom/chessbot/master/model/chessbot.pb", "format": "TensorFlow Graph", "link": "https://github.com/srom/chessbot" }, { "target": "tf/chessbot_estimator.pb", "source": "https://raw.githubusercontent.com/srom/chessbot/master/model/estimator.pb", "format": "TensorFlow Graph", "link": "https://github.com/srom/chessbot" }, { "target": "tf/chessbot_classifier.pb", "source": "https://raw.githubusercontent.com/srom/chessbot/master/model/classifier.pb", "format": "TensorFlow Graph", "link": "https://github.com/srom/chessbot" }, { "target": "tf/densenet.pb", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/densenet_2018_04_27.tgz[densenet/densenet.pb]" }, { "target": "tf/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", "link": "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example" }, { "target": "tf/faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28_frozen_inference_graph.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", "link": "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example" }, { "target": "tf/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", "link": "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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]" }, { "target": "tf/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" }, { "target": "tf/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]" }, { "target": "tf/inception5h.pb", "source": "https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip[tensorflow_inception_graph.pb]" }, { "target": "tf/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]" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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", "link": "https://www.tensorflow.org/lite/models" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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" }, { "target": "tf/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]", "format": "TensorFlow Saved Model v1", "link": "https://github.com/onnx/tensorflow-onnx/blob/master/tests/run_pretrained_models.yaml" }, { "target": "tf/squeezenet.pb", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz[./squeezenet.pb]" }, { "target": "tf/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", "link": "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example" }, { "target": "tf/ssd_mobilenet_v1_coco_11_06_2017_frozen_inference_graph.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" }, { "target": "tf/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", "link": "https://github.com/GoogleCloudPlatform/tensorflow-object-detection-example" }, { "target": "tf/vgg_16.pb", "source": "https://deepdetect.com/models/tf/vgg_16/vgg_16.pb", "format": "TensorFlow Graph", "link": "https://deepdetect.com/models/tf" }, { "target": "tf/vgg_19.pb", "source": "https://deepdetect.com/models/tf/vgg_19/vgg_19.pb", "format": "TensorFlow Graph", "link": "https://deepdetect.com/models/tf" }, { "target": "tfjs/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" }, { "target": "tfjs/mnist_transfer_cnn_v1/model.json,tfjs/mnist_transfer_cnn_v1/group1-shard1of1,tfjs/mnist_transfer_cnn_v1/group2-shard1of1,tfjs/mnist_transfer_cnn_v1/group3-shard1of1,tfjs/mnist_transfer_cnn_v1/group4-shard1of1", "source": "https://storage.googleapis.com/tfjs-models/tfjs/mnist_transfer_cnn_v1/model.json,https://storage.googleapis.com/tfjs-models/tfjs/mnist_transfer_cnn_v1/group1-shard1of1,https://storage.googleapis.com/tfjs-models/tfjs/mnist_transfer_cnn_v1/group2-shard1of1,https://storage.googleapis.com/tfjs-models/tfjs/mnist_transfer_cnn_v1/group3-shard1of1,https://storage.googleapis.com/tfjs-models/tfjs/mnist_transfer_cnn_v1/group3-shard1of1,https://storage.googleapis.com/tfjs-models/tfjs/mnist_transfer_cnn_v1/group4-shard1of1", "format": "TensorFlow.js Keras v2.1.4", "link": "https://github.com/tensorflow/tfjs-examples" }, { "target": "tfjs/sentiment_cnn_v1/model.json", "source": "https://storage.googleapis.com/tfjs-models/tfjs/sentiment_cnn_v1/model.json", "format": "TensorFlow.js Keras v2.1.4", "link": "https://github.com/tensorflow/tfjs-examples" }, { "target": "tfjs/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" }, { "target": "tflite/densenet.tflite", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/densenet_2018_04_27.tgz[densenet/densenet.tflite]" }, { "target": "tflite/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]" }, { "target": "tflite/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]" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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]" }, { "target": "tflite/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]" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/smartreply.tflite", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/smartreply_1.0_2017_11_01.zip[smartreply.tflite]" }, { "target": "tflite/smartreply_1.0_2017_11_01.zip", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/smartreply_1.0_2017_11_01.zip" }, { "target": "tflite/squeezenet.tflite", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz[./squeezenet.tflite]" }, { "target": "tflite/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" }, { "target": "tflite/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" }, { "target": "tflite/speech_speakerid_model_2017_11_14.tflite", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/speech_speakerid_model_2017_11_14.tflite" }, { "target": "tflite/speech_tts_model_2017_11_14.tflite", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/speech_tts_model_2017_11_14.tflite" }, { "target": "tflite/speech_terse_am_model_2017_11_14.tflite", "source": "https://storage.googleapis.com/download.tensorflow.org/models/tflite/speech_terse_am_model_2017_11_14.tflite" }, { "target": "tflite/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" } ]