awesome-self-supervised-learning and awesome-semi-supervised-learning
These tools are complements because self-supervised learning can be used to generate labeled data for semi-supervised learning, with both being approaches to leverage unlabeled data effectively.
About awesome-self-supervised-learning
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
This resource is a comprehensive collection of research papers and code related to Self-Supervised Learning (SSL) methods. It helps AI researchers and practitioners stay current with advancements in training AI models with less labeled data. It takes in a user's need to find information on SSL topics and provides categorized lists of academic papers, often with links to their PDFs and associated code.
About awesome-semi-supervised-learning
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
This is a curated list of research papers, methods, and resources focused on semi-supervised learning. It provides a comprehensive overview of techniques that help build more accurate classification and prediction models by effectively using both limited labeled data and abundant unlabeled data. Researchers and practitioners working in machine learning, particularly those tackling problems with data scarcity, would find this project useful.
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