A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.

🔥Highlighting the top ML papers every week.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Image augmentation for machine learning experiments.

A curated list of awesome papers on dataset distillation and related applications.

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List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.