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OTAMatch

OTAMatch: Optimal Transport Assignment with PseudoNCE for Semi-supervised Learning

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We recommend that everyone use English to communicate on issues, as this helps developers from around the world discuss, share experiences, and answer questions together.

Updates

[2024-5-28]: We are excited to launch OTAMatch, a semi-supervised learning framework.

Getting started

Usage

1. Installation

OTAMatch is developed based on torch==1.9.0, Check more details about requirements.txt.

2. Training & Evaluation

python otamatch.py --c config/otamatch/otamatch_cifar10_40_0.yaml

Citations

If you find OTAMatch is useful in your research or applications, please consider giving us a star 🌟 and citing it.

Licence

OTAMatch is under the GPL-v3 Licence and is supported for commercial usage. If you need a commercial license for OTAMatch, please feel free to contact us.

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