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Overview

mypt is short for My Pytorch. This is a simple library implementing routines tasks and subroutines often used in Deep Learning tasks.

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The library is under construction. As of the moment of writing this readme file, the following sections are implemented:

  1. backbones: code to faciliate working and manipulating famous Feature Extractors such as Resnet and Alexnet
  2. code_utilities: utility code such as file manipulation for visual tasks, ensuring reproducibility...
  3. dimension_analysis: code to determine the shape of the output when passed through a given torch.nn.Module without specifically calling the module.
  4. data: dataset classes for specific task and automating data-related code (e.g initializing a reproducible dataloader )
  5. subroutines: K-nearest neighbors with Pytorch

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