ZFTurbo/Music-Source-Separation-Training
Repository for training models for music source separation.
- Stars
- 1.6k
- Forks
- 229
- Open issues
- 71
- Last push
- 7d ago
About Music-Source-Separation-Training
Music-Source-Separation-Training is a free, open-source machine learning tool by ZFTurbo, written mainly in Python. Repository for training models for music source separation. It has 1.6k GitHub stars and 229 forks, and was last updated 7d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 1,595
- Last update
- 7d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Music-Source-Separation-Training FAQ
Is Music-Source-Separation-Training free?
Yes. Music-Source-Separation-Training is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Music-Source-Separation-Training run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Music-Source-Separation-Training need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Music-Source-Separation-Training still maintained?
Yes. It was last updated 7d ago and has 71 open issues on GitHub.
What are alternatives to Music-Source-Separation-Training?
Similar free, open-source tools include pytorch-image-models, uni2ts, ai-trains-ai, OneTrainer.