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A set of sharp utilities for PyTorch.
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torchsharp is a framework for PyTorch which provides a set of sharp utilities aiming at speeding up programming and encouraging code re-use.

This repository consists of:

  • : Useful stuff about data operation such as dummy datasets and image transforms for data argumentation, etc.

  • torchsharp.model : Helpful fucntions about model training process such as initializer and metrics, etc.

    • configuration profile
    • high level model class
    • weight initializer wrapper
    • optimizer wrapper
    • lr scheduler wrapper
    • more metrics
    • history and tensorboard logger
  • torchsharp.utils : Other tools like logger and timer, etc.