Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
Separate music tracks from a mixed audio file using advanced AI techniques.
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Free · no card · unsubscribe anytimeImplementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
BS-RoFormer has 873 stars on GitHub. It has been forked 41 times. BS-RoFormer is written mainly in Python. It has been in active development since 2023. BS-RoFormer is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanisms, deep-learning, music-source-separation.
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
BS-RoFormer is an open-source project. It is released under the MIT license.
Yes. BS-RoFormer is free and open source — you can use, modify and self-host it.
BS-RoFormer is available under the MIT license.
BS-RoFormer is written mainly in Python.
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