Netron: Open-source Visualizer for Deep Learning, Machine Learning, and Neural Network Models
Table of Content
Netron is an open-source multi-platform visualizer and editor for artificial intelligence models. It supports many extensions for deep learning, machine learning and neural network models. Netron is using Electron/ NodeJS and it has a binary application release for Windows, Linux and macOS.
Netron is popular among data scientists, The project's page at Github received 6.8k stars and >800 forks.
Primary support
- ONNX (.onnx, .pb, .pbtxt)
- Keras (.h5, .keras)
- Core ML (.mlmodel)
- Caffe (.caffemodel, .prototxt)
- Caffe2 (predict_net.pb, predict_net.pbtxt)
- MXNet (.model, -symbol.json),
- NCNN (.param)
- TensorFlow Lite (.tflite)
Experimental support
Netron's developer has added experimental support for more
- TorchScript (.pt, .pth)
- PyTorch (.pt, .pth)
- Torch (.t7)
- CNTK (.model, .cntk)
- Deeplearning4j (.zip)
- PaddlePaddle (.zip, model)
- Darknet (.cfg)
- scikit-learn (.pkl)
- ML.NET (.zip)
- MNN (.mnn)
- OpenVINO (.xml)
- BigDL (.bigdl, .model)
- Chainer, (.npz, .h5)
- TensorFlow.js (model.json, .pb)
- TensorFlow (.pb, .meta, .pbtxt).
Platforms
- Windows
- macOS
- Linux AppImage and .dep package for (Debian and Ubuntu)
