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.
Convert TensorFlow models to ONNX
Models and examples built with TensorFlow
ONNXMLTools enables conversion of models to ONNX
Model analysis tools for TensorFlow
Image Classification using Keras as well as Tensorflow.
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
A python implementation for a CNTK Fast-RCNN evaluation client
Convert scikit-learn models and pipelines to ONNX
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
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