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An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Dernier commit 27 mai 2026

 (5 774 stars) (931 forks) (1 issue indexée) (0 good first issues ouvertes)

Build computer vision models in a fraction of the time and with less data.

Dernier commit 29 juil. 2026

 (1 277 stars) (474 forks) (0 issues indexées) (0 good first issues ouvertes)