Netron is a viewer for neural network, deep learning and machine learning
models. Netron supports:
* ONNX (.onnx, .pb, .pbtxt),
* Keras (.h5, .keras),
* Core ML (.mlmodel),
* Caffe (.caffemodel, .prototxt),
* Caffe2 (predict_net.pb, predict_net.pbtxt),
* MXNet (.model, -symbol.json),
* TorchScript (.pt, .pth),
* NCNN (.param),
* TensorFlow Lite (.tflite).
Netron has experimental support for:
* PyTorch (.pt, .pth),
* Torch (.t7),
* CNTK (.model, .cntk),
* Deeplearning4j (.zip),
* PaddlePaddle (.zip, __model__),
* Darknet (.cfg),
* MNN (.mnn),
* scikit-learn (.pkl),
* ML.NET (.zip),
* TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta, .pbtxt).
WWW: https://github.com/lutzroeder/netron
