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.