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Functions, losses, and module blocks to share between experiments.

Project description

Pugh Torch

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Functions, losses, and module blocks to share between experiments.


Features

  • Additional methods to TensorBoard summary writer for adding normalized images and semantic segmentation images.
  • hetero_cross_entropy for cross_entropy loss across heterogeneous datasets

Installation

Stable Release: pip install pugh_torch
Development Head: pip install git+https://github.com/BrianPugh/pugh_torch.git

Documentation

For full package documentation please visit BrianPugh.github.io/pugh_torch.

Free software: MIT license

#HISTORY

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.1.0] - 2020-09-13

Added

  • Initial Release

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