Open unmix for tensorflow

Since the release of open-unmix in September 2019, the source separation landscape has evolved regarding pre-trained models.

Open-unmix was designed as a baseline to make it easier to do source separation research. Now, spleeter has been made available and got much popularity since its release. We believe it is a good implementation for users to apply source separation in a signal processing pipeline.

For this reason, we decided to not release the tensorflow implementation of open-unmix publicly, but rather to make it available for commercial applications.

We continue to improve and update the PyTorch release and we believe that in terms of academic research, this follows the current trend in the community to vastly favor this framework.