{"id":13796670,"url":"https://lutzroeder.github.io/Netron","last_synced_at":"2025-05-13T00:31:00.598Z","repository":{"id":1259704,"uuid":"1198539","full_name":"lutzroeder/netron","owner":"lutzroeder","description":"Visualizer for neural network, deep learning and machine learning 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align=\"center\"\u003e\n\u003cimg width=\"400px\" height=\"100px\" src=\"https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only\"\u003e\n\u003cimg width=\"400px\" height=\"100px\" src=\"https://github.com/lutzroeder/netron/raw/main/.github/logo-dark.svg#gh-dark-mode-only\"\u003e\n\u003c/div\u003e\n\nNetron is a viewer for neural network, deep learning and machine learning models.\n\nNetron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, Safetensors and NumPy.\n\nNetron has experimental support for TorchScript, torch.export, ExecuTorch, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.\n\n\u003cp align='center'\u003e\u003ca href='https://www.lutzroeder.com/ai'\u003e\u003cimg src='.github/screenshot.png' width='800'\u003e\u003c/a\u003e\u003c/p\u003e\n\n## Install\n\n**macOS**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install --cask netron`\n\n**Linux**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.AppImage` file or run `snap install netron`\n\n**Windows**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.exe` installer or run `winget install -s winget netron`\n\n**Browser**: [**Start**](https://netron.app) the browser version.\n\n**Python**: `pip install netron`, then run `netron [FILE]` or `netron.start('[FILE]')`.\n\n## Models\n\nSample model files to download or open using the browser version:\n\n * **ONNX**: [squeezenet](https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx) [[open](https://netron.app?url=https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx)]\n * **TorchScript**: [traced_online_pred_layer](https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt) [[open](https://netron.app?url=https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt)]\n * **TensorFlow Lite**: [yamnet](https://huggingface.co/thelou1s/yamnet/resolve/main/lite-model_yamnet_tflite_1.tflite) [[open](https://netron.app?url=https://huggingface.co/thelou1s/yamnet/blob/main/lite-model_yamnet_tflite_1.tflite)]\n * **TensorFlow**: [chessbot](https://github.com/srom/chessbot/raw/master/model/chessbot.pb) [[open](https://netron.app?url=https://github.com/srom/chessbot/raw/master/model/chessbot.pb)]\n * **Keras**: [mobilenet](https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5) [[open](https://netron.app?url=https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5)]\n * **Core ML**: [exermote](https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel) [[open](https://netron.app?url=https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel)]\n * **Darknet**: [yolo](https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg) [[open](https://netron.app?url=https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg)]\n","funding_links":[],"categories":["Miscellaneous","Speech Processing"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/lutzroeder.github.io%2FNetron","html_url":"https://awesome.ecosyste.ms/projects/lutzroeder.github.io%2FNetron","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/lutzroeder.github.io%2FNetron/lists"}