mmdnn

Tools to inter-operate among different deep learning frameworks

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