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  • School of Biomedical Engineering, ShanghaiTech University
  • Shanghai, China
  • 04:55 (UTC +08:00)

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  1. TorchUnique TorchUnique Public

    Convert any serializable object into a shared object across ranks. This is useful for aggregating results from different ranks during distributed training, implemented based on Torch RPC.

    Python 1

  2. TorchExtraContext TorchExtraContext Public

    Append an extra context object to all child modules of the top-level module, and collect losses and hooks. This method is useful when you need to pass losses from `nn.Module` in a deep level to the…

    Python

  3. pyLazyModule pyLazyModule Public

    A simple practice of dynamic module loader to avoid explicitly importing optional dependencies when a module is not accessed. This is useful when using multiple optional backends for deep learning.

    Python

  4. Listen-to-your-pulseq Listen-to-your-pulseq Public

    Forked from ShanghaiTech-Hu-Lab/Listen-to-your-pulseq

    Add a feature to 'pypulseq.Sequence' in order to provide audio preview for grad waveform.

    Python