anomalib

Anomaly detector

A deep learning library for detecting anomalies in data with algorithms and tools for benchmarking, training, and deploying models.

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

GitHub

4k stars
39 watching
677 forks
Language: Python
last commit: 6 days ago
anomaly-detectionanomaly-localizationanomaly-segmentationneural-network-compressionopenvinounsupervised-learning

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