microsoft/Semi-supervised-learning
A unified semi-supervised learning benchmark codebase covering computer vision, NLP, and audio classification tasks.
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This repository provides a standardized benchmark for evaluating semi-supervised learning methods across multiple modalities including computer vision, natural language processing, and audio classification. It unifies various SSL algorithms and evaluation protocols to enable fair comparison. The project is implemented in PyTorch and supports modern transformer architectures.
Frequently asked
- What is microsoft/Semi-supervised-learning?
- A unified semi-supervised learning benchmark codebase covering computer vision, NLP, and audio classification tasks.
- Is Semi-supervised-learning open source?
- Yes — microsoft/Semi-supervised-learning is open source, released under the MIT license.
- What language is Semi-supervised-learning written in?
- microsoft/Semi-supervised-learning is primarily written in Python.
- How popular is Semi-supervised-learning?
- microsoft/Semi-supervised-learning has 1.6k stars on GitHub.
- Where can I find Semi-supervised-learning?
- microsoft/Semi-supervised-learning is on GitHub at https://github.com/microsoft/Semi-supervised-learning.