Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
  • Loading branch information
faroit authored Feb 14, 2021
1 parent 55822f8 commit f2b22c7
Showing 1 changed file with 4 additions and 1 deletion.
5 changes: 4 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1,10 +1,13 @@
# _Open-Unmix_ for PyTorch

[![status](https://joss.theoj.org/papers/571753bc54c5d6dd36382c3d801de41d/status.svg)](https://joss.theoj.org/papers/571753bc54c5d6dd36382c3d801de41d)
[![Build Status](https://travis-ci.com/sigsep/open-unmix-pytorch.svg?branch=master)](https://travis-ci.com/sigsep/open-unmix-pytorch) [![Docker hub](https://img.shields.io/docker/cloud/build/faroit/open-unmix-pytorch)](https://cloud.docker.com/u/faroit/repository/docker/faroit/open-unmix-pytorch)
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1mijF0zGWxN-KaxTnd0q6hayAlrID5fEQ)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/open-unmix-a-reference-implementation-for/music-source-separation-on-musdb18)](https://paperswithcode.com/sota/music-source-separation-on-musdb18?p=open-unmix-a-reference-implementation-for)

[![Build Status](https://github.com/sigsep/open-unmix-pytorch/workflows/CI/badge.svg)](https://github.com/faroit/stempeg/actions?query=workflow%3ACI+branch%3Amaster+event%3Apush)
[![Latest Version](https://img.shields.io/pypi/v/openunmix.svg)](https://pypi.python.org/pypi/openunmix)
[![Supported Python versions](https://img.shields.io/pypi/pyversions/openunmix.svg)](https://pypi.python.org/pypi/openunmix)

This repository contains the PyTorch (1.6+) implementation of __Open-Unmix__, a deep neural network reference implementation for music source separation, applicable for researchers, audio engineers and artists. __Open-Unmix__ provides ready-to-use models that allow users to separate pop music into four stems: __vocals__, __drums__, __bass__ and the remaining __other__ instruments. The models were pre-trained on the freely available [MUSDB18](https://sigsep.github.io/datasets/musdb.html) dataset. See details at [apply pre-trained model](#getting-started).

## ⭐️ News
Expand Down

0 comments on commit f2b22c7

Please sign in to comment.