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Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

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CIFAR-10_experiments.py

CIFAR-10_experiments.py

 
 

README.md

README.md

 
 

mixmatch_utils.py

mixmatch_utils.py

 
 

notebook.ipynb

notebook.ipynb

 
 

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[WIP] MixMatch: A Holistic Approach to Semi-Supervised Learning

A Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning [paper]. Till it is no longer a WIP check notebook for latest code.

TO-DO

  • Train on CIFAR10 data.
  • Add training code for CIFAR10 with WideResnet28 from here.

Dependencies

pip install <pytorch-latest.whl url>

To use this layer:

from layer import mixmatch, MixMatchLoss

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Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

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deep-learning pytorch semi-supervised-learning

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