Viewer for neural network, deep learning and machine learning models
Project description
Netron is a viewer for neural network, deep learning and machine learning models.
Netron supports ONNX (.onnx, .pb), Keras (.h5, .keras), Core ML (.mlmodel), Caffe (.caffemodel, .prototxt), Caffe2 (predict_net.pb), Darknet (.cfg), MXNet (.model, -symbol.json), ncnn (.param) and TensorFlow Lite (.tflite). Netron has experimental support for TorchScript (.pt, .pth), PyTorch (.pt, .pth), Torch (.t7), ArmNN (.armnn), BigDL (.bigdl, .model), Chainer (.npz, .h5), CNTK (.model, .cntk), Deeplearning4j (.zip), PaddlePaddle (__model__), MediaPipe (.pbtxt), ML.NET (.zip), MNN (.mnn), OpenVINO (.xml), scikit-learn (.pkl), Tengine (.tmfile), TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta, .pbtxt, .ckpt, .index).
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size netron-4.0.0-py2.py3-none-any.whl (1.3 MB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
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