A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障诊断和预测数据集，不断更新中）

[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

Python code for abnormal detection using Support Vector Data Description (SVDD)

A PyTorch implementation of the Deep SVDD anomaly detection method

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

My PyTorch implementation of Deep SVDD for Anomaly Detection

MathGeo: A toolbox for seismic data processing

2D Digital Image Correlation Matlab Software

Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sparse Coding".

Code accompanying the paper M. Sorel, F. Sroubek, "Fast convolutional sparse coding using matrix inversion lemma", Digital Signal Processing, vol. 55, pp.44-51, 2016

Sparse Filtering