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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, .pbtxt), Keras (.h5, .keras), TensorFlow Lite (.tflite), Caffe (.caffemodel, .prototxt), Darknet (.cfg), Core ML (.mlmodel), MNN (.mnn), MXNet (.model, -symbol.json), ncnn (.param), PaddlePaddle (.zip, __model__), Caffe2 (predict_net.pb), Barracuda (.nn), Tengine (.tmfile), TNN (.tnnproto), RKNN (.rknn), MindSpore Lite (.ms) and UFF (.uff). Netron has experimental support for TensorFlow (.pb, .meta, .pbtxt, .ckpt, .index), PyTorch (.pt, .pth), TorchScript (.pt, .pth), Torch (.t7), OpenVINO (.xml), ArmNN (.armnn), BigDL (.bigdl, .model), Chainer (.npz, .h5), CNTK (.model, .cntk), Deeplearning4j (.zip), MediaPipe (.pbtxt), ML.NET (.zip), scikit-learn (.pkl) and TensorFlow.js (model.json, .pb)

Project details

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Files for netron, version 4.8.0
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Filename, size netron-4.8.0-py2.py3-none-any.whl (1.4 MB) File type Wheel Python version py2.py3 Upload date Hashes View

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