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torch_signal_package's Introduction

This Capsulation Library consists of Deep Learning with PyTorch and some signal processing with scipy(or others).


Library structure
  • data

    • /dataset/ is where you store your data
    • /my*.py provides an example realization of torch.dataloader
  • models

    • /few-shot/ provides some networks about few-shot learning
    • /machine-learning/ provides some machine learning algorithms, including classification, regression and clusters.
    • /*.py provides some classical network architechtures.
  • signal-processing

    • /features/ provides time、frequency、energy domain features extraction.
    • /filters/ provides some signal filters.
    • /transformation/ provides some signal transformation (time->freq or freq->time, etc)
  • utils

    • /pytorch2mobile provides some converter on how to convert PyTorch model to ncnn or TorchMobile
    • /*.py provides some tools to handle time calculation, etc.
  • visualization

    • /*.py provides some visualization functions.

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