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Forked from lessw2020/Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase
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Forked from fgnt/pb_bss
Collection of EM algorithms for blind source separation of audio signals
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1,294 contributions in the last year
Activity overview
Contribution activity
November 1, 2020
October 2020
- mpariente/torch_mir_eval Python
Created a pull request in mpariente/asteroid that received 17 comments
[src&tests] Add sample_rate in `BaseEncoderMaskerDecoder`
We need a way to know what is the sampling rate supported by a model. That's one attempt to do it.
Should we enforce a samle_rate argument in the B…
- [docs] Fix Reference and Example blocks in docs
- Revert "[install] Pin torchaudio 0.6.0 and torch 1.6.0 (#289)"
- Load models without sample_rate
- [src] Add sample_rate argument to all supported models.
- [src] Automatic resampling in separate.
- [src] Fix LambdaOverlapAdd
- [src&tests] Improve scheduler's docs + add plot method
- Add more shape checks to SDR and MSE losses
- [docs] Fix Reference and Example blocks in docs
- Rewrite forward of BaseEncoderMaskerDecoder to be more readable
- Add jit compatibility
- Make `get_metrics` robust against metrics failures
- [src & tests] Add Hungarian matcher to solve the linear sum assignement in PITLossWrapper
- [src&tests] Improve scheduler's docs + add plot method
- DCUNet and DCCRNet
- Split base model
Created an issue in JuanFMontesinos/torch_mir_eval that received 9 comments
Batch support & Backprop
First thanks a lot for the implementation, that's great ! Is there a plan to support batch computation? This would really be a game changer ! Regar…

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