yassouali/awesome-semi-supervised-learning resource

Health v2 · maintenance only

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1856 stars · 224 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated, regularly updated list of semi-supervised learning papers, methods, and resources, covering deep learning, computer vision, NLP, graph neural networks, and generative models. It serves as a reference catalog for researchers and practitioners rather than executable software.

Use cases

• find recent semi-supervised learning papers
• survey methods for training with limited labeled data
• research consistency regularization and self-training techniques
• find semi-supervised learning resources for computer vision
• explore semi-supervised approaches for NLP and graph neural networks
• prepare a literature review on semi-supervised learning

When to choose

• you need an up-to-date curated bibliography of semi-supervised learning research
• you are starting research on learning from limited labeled data
• you want organized pointers to methods across vision, NLP, and graphs

When to avoid

• you need runnable code or a library rather than a paper list
• you need supervised or fully self-supervised learning resources
• you need a tutorial with hands-on exercises instead of links

Facets

learning-resource · maturity active

machine-learning deep-learning nlp computer-vision machine-learning deep-learning computer-vision awesome-lists tutorials cross-platform awesome-list semi-supervised-learning papers curated-resources research natural-language-processing

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For agents

markdown · JSON · MCP: product_card(name="yassouali/awesome-semi-supervised-learning")