New Features
* added implementation of differentiable wiener filters, removing norbert redundancy
* added more flexible encoder/decoder transform architecture
* updated to codebase to pytorch ~~1.4.0~~, ~~1.5.0~~, ~~1.5.1~~, 1.6.0, 1.7.0
* added a `force_stereo` augmentation to address heterogeneous datasets of mixed channels 41
* added type hint annotations
* restructured code as a python package 46 via 60
* update to musdb 0.4.0 and museval 0.4.0
* added test for onnx export
* added `stempeg` based audio inference backend to improve reading and writing of compressed audio
* switch from travis to github actions (thanks to mpariente)
* update docs
Bug Fixes
* address issue with dataset statistic calculation 33
* fixes glob(*) behaviour which is known to not be deterministic and can cause [non-reproducible behavior](https://pubs.acs.org/doi/10.1021/acs.orglett.9b03216)
* uses centered audio segments for `sourcefolder` dataset
Thanks
Thanks to aliutkus, Baldwin-disso, keunwoochoi for the contributions.
Special thanks to mpariente for the awesome asteroid code base.