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Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs

Results 8 BS-RoFormer issues
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I'm trying to reproduce the paper model. But I have no luck. My current settings which gave me batch size only 2 for 48 GB memory: ``` dim: 192 depth:...

In the current implementation, the `forward()` method is generic for train or eval mode. In some case, we need to have not only the loss but the prediction on output...

After separating STFT and ISTFT from the `BSRoformer` class, I was able to successfully export the model to ONNX, and `trtexec` could convert the ONNX model to a TensorRT engine....

Hello @lucidrains I have just open sourced my Mel-band Roformer vocal model, it performs slightly better than the authors model because I trained it with more data. I also included...

Hi! Amazing work! Any chance it can run on MPS (Metal Performance Shaders) - Apple GPU?

Hello, Firstly, thank you for making the code publicly available. I am attempting to reproduce the results of the BS-RoFormer paper to achieve similar SDR performance and am referencing your...

hello, I have two question about the Linear Attention that was added later. Can you clear me up why it is called Linear Attention when the referenced paper introduces Cross-Covariance...

Is it possible to reduce some aspects of Melband to give good results still but be able to train on smaller GPUs? I have tried finetuning Kimberley's model with my...