yassouali/awesome-semi-supervised-learning
A curated list of awesome semi-supervised learning papers, methods, and resources.
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An awesome-list repository that compiles research papers, methods, and educational resources on semi-supervised learning. It covers approaches including generative mixture models, self-training, consistency regularization, co-training, and graph-based methods. The list serves as a reference for researchers and practitioners working with machine learning techniques that leverage unlabeled data alongside labeled examples.
Frequently asked
- What is yassouali/awesome-semi-supervised-learning?
- A curated list of awesome semi-supervised learning papers, methods, and resources.
- Is awesome-semi-supervised-learning open source?
- Yes — yassouali/awesome-semi-supervised-learning is open source, released under the MIT license.
- How popular is awesome-semi-supervised-learning?
- yassouali/awesome-semi-supervised-learning has 1.9k stars on GitHub.
- Where can I find awesome-semi-supervised-learning?
- yassouali/awesome-semi-supervised-learning is on GitHub at https://github.com/yassouali/awesome-semi-supervised-learning.