mala-lab/InCTRL

[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs

Official implementation for AnomalyCLIP (ICLR 2024)

Vanilla torch and timm industrial knn-based anomaly detection for images.

Pytorch version of - https://github.com/WaqasSultani/AnomalyDetectionCVPR2018

👽 Out-of-Distribution Detection with PyTorch

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

A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.