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.
4k stars
40 watching
691 forks
Language: Python
last commit: about 2 months ago anomaly-detectionanomaly-localizationanomaly-segmentationneural-network-compressionopenvinounsupervised-learning
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