Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

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

PyTorch implementation of Contrastive Learning methods

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

A PyTorch implementation of the Deep SVDD anomaly detection method

Contrastive Predictive Coding for Automatic Speaker Verification

Public repo for Augmented Multiscale Deep InfoMax representation learning

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

unoffical and work in progress PyTorch implementation of CutPaste

Repository for the Deep One-Class Classification ICML 2018 paper

PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

Anomaly Detection via Reverse Distillation from One-Class Embedding

This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper (VAND Workshop - CVPR 2023).

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

L-Verse: Bidirectional Generation Between Image and Text

[CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

[IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization

Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]

E3Outlier: Effective End-to-end Unsupervised Outlier Detection

NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN

Anomaly detection in industrial dataset(MVTEC) like capsules, texture, bottle tec... with simple layers and high performance

Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'

[TPAMI 2023] Non-Graph Data Clustering via O(n) Bipartite Graph Convolution

Unofficial pytorch dataset class for MVTec Anomaly Detection Dataset