ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

Anomaly detection on images using features from pretrained neural networks.

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

Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

Create a web based control panel for your Micropython project. Web server, parallel processing and web API.

[CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images

Anomaly Detection via Reverse Distillation from One-Class Embedding

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

Pluralistic Image Completion for Anomaly Detection (Med. Image Anal. 2023)

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

unofficial version of EfficientAD

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

EfficientNetV2 based PaDiM

This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)

unoffical and work in progress PyTorch implementation of CutPaste

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

Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Python wrapper for TA-Lib (http://ta-lib.org/).

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

an implementation of the architecture of FastFlow (Jiawei Yu et al.)

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders