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.
Hello. I'd like to say that this repository could be a piece of gold in a DL society. Unfortunately, you have not implemented quite basic operations, like sum along axis, simple scalar and broadcast operations (not all of them are implemented). And even some version-based naming is not handled (like moving_mean vs running_mean for batchnorm in mxnet).
Please do something about that. I think people even would pay some money for conversions.
Hello. I'd like to say that this repository could be a piece of gold in a DL society. Unfortunately, you have not implemented quite basic operations, like sum along axis, simple scalar and broadcast operations (not all of them are implemented). And even some version-based naming is not handled (like moving_mean vs running_mean for batchnorm in mxnet). Please do something about that. I think people even would pay some money for conversions.