A curated list of awesome anomaly detection resources

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

Implementation of f-AnoGAN with PyTorch

Anomaly detection related books, papers, videos, and toolboxes

Reconstruction by Inpainting Based Anomaly Detection

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

List of tools & datasets for anomaly detection on time-series data.

List of implementation of SOTA deep anomaly detection methods

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

A Python Library for Graph Outlier Detection (Anomaly Detection)

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".