OpenUnmix is an open-source AI/ML library built on PyTorch for music source separation. It provides tools, pre-trained models, and a command-line interface to separate audio tracks into vocals, drums, bass, and other stems. OpenUnmix runs via CLI, making it lightweight and easy to use for research, music analysis, and production workflows.

Features of OpenUnmix:

• AI-powered music source separation using deep learning.
• Command-line interface for quick and efficient usage.
• Separates audio into vocals, drums, bass, and other stems.
• Lightweight and does not require a web server.
• Integration with Python projects for automated audio workflows.
• High-quality pre-trained models suitable for research and production.
• Open-source and extensible for custom audio processing applications.

To check OpenUnmix installation:

$ cd /opt/open-unmix-pytorch

$ source venv/bin/activate

$ pip show openunmix

Disclaimer: OpenUnmix is open-source software provided under the MIT License. It is offered "as is," without any warranty, express or implied. Users are responsible for ensuring the ethical and legal use of OpenUnmix in their projects.