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| .vscode | 1a3875886e first commit | il y a 8 ans |
| media | cf7a634f5a Update screenshot | il y a 8 ans |
| setup | e4e4bc7743 Move electron-builder setup files to /setup | il y a 8 ans |
| src | 2a36085529 TensorFlow type and attribute documentation. | il y a 8 ans |
| tools | 2a36085529 TensorFlow type and attribute documentation. | il y a 8 ans |
| .gitignore | ca42cf9505 Bug fixes and tf/tflite experiments | il y a 8 ans |
| LICENSE | 0157c86a27 Update license | il y a 9 ans |
| README.md | e153b4df03 Operator documentation formatting | il y a 8 ans |
| package.json | 6df79ffe95 Update to 1.1.3 | il y a 8 ans |
| setup.cfg | 7d9e677e20 Write .egg-info to /tmp | il y a 8 ans |
| setup.py | ab752a77d0 UI simplification and more documentation support | il y a 8 ans |

Netron is a viewer for ONNX neural network models.
macOS
Download the .dmg file or with Homebrew run brew cask install netron
Linux
Download the .AppImage or .deb file. The .AppImage needs to be made executable after download.
Windows
Download the .exe file.
Below are a few model files you can download and open:
ONNX Models
TensorFlow Lite Models
To run Netron in a web browser, install the Python web server using pip:
pip install netron
Launch the model server:
netron my_model.onnx
To serve a model from Python code:
import netron
netron.serve_file('my_model.onnx')
