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22 lines
963 B
Text
22 lines
963 B
Text
MMdnn is a set of tools to help users inter-operate among different deep
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learning frameworks. E.g. model conversion and visualization. Convert models
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between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
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A comprehensive, cross-framework solution to convert, visualize and diagnose
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deep neural network models. The "MM" in MMdnn stands for model management and
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"dnn" is an acronym for the deep neural network.
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Major features:
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* Find model
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- We provide a model collection to help you find some popular models
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- We provide a model visualizer to display the network architecture more
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intuitively
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* Conversion
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- We implement a universal converter to convert DNN models between
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frameworks, which means you can train on one framework and deploy on another
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* Retrain
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- In the converter, we can generate some training/inference code snippet to
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simplify the retrain/evaluate work
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* Deployment
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WWW: https://github.com/microsoft/MMdnn
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