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MMdnn is a comprehensive, cross-framework tool to convert, visualize, and diagnose deep learning models. It provides a universal converter that translates DL models between frameworks such as Caffe, Keras, MXNet, TensorFlow, CNTK, PyTorch, ONNX, and CoreML, enabling training in one framework and deployment in another. The project is MIT-licensed and open-source on GitHub under the microsoft/MMdnn repository.
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