This repo contains the unofficial pytorch implementation for the semi-supervised learning paper MixMatch: A Holistic Approach to Semi-Supervised Learning.

• Python3: Anaconda is recommended because it already contains a lot of packages:
• pytorch>=1.0: Refer to https://pytorch.org/get-started/locally/
• other packages: pip install tensorboardX tensorboard

Tensorboard log on cifar10 dataset with 250 labeled data.

Some codes is borrowed from https://github.com/google-research/mixmatch and https://github.com/YU1ut/MixMatch-pytorch.