Repository: lutzroeder/netron

Stars: 32766

README.md Copy Chapter

<div align="center">
<img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only">
<img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-dark.svg#gh-dark-mode-only">
</div>

Netron is a viewer for neural network, deep learning and machine learning models.

Netron supports ONNX, TensorFlow Lite, PyTorch, torch.export, ExecuTorch, Core ML, Keras, Caffe, Darknet, TensorFlow.js, Safetensors and NumPy.

Netron has experimental support for TorchScript, MLIR, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.

<p align='center'><a href='https://www.lutzroeder.com/ai'><img src='.github/screenshot.png' width='800'></a></p>

Install Copy Chapter

Browser: Start the browser version.

macOS: Download the .dmg file or run brew install --cask netron.

Linux: Download the .deb or .rpm file.

Windows: Download the .exe installer or run winget install -s winget netron.

Python: pip install netron, then run netron [FILE] or netron.start('[FILE]').

Models Copy Chapter

Sample model files to download or open using the browser version:

* ONNX: squeezenet [open]
* TorchScript: traced_online_pred_layer [open]
* TensorFlow Lite: yamnet [open]
* TensorFlow: chessbot [open]
* Keras: mobilenet [open]

* MLIR: edge_detection [open]

* Core ML: exermote [open]
* Darknet: yolo [open]