anomaly-detection-algorithm 开源项目推荐（97 个）

XiaoxiaoMa-MQ /Awesome-Deep-Graph-Anomaly-Detection

基于深度学习框架构建的超棒图异常检测技术。常用数据集、论文及实现的集合都在这个GitHub仓库中列出。我们还邀请对异常检测、图表示学习和图异常检测感兴趣的研究人员加入本项目，推动该领域的进一步研究。

thedatumorg /TSB-UAD

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

ymxlzgy /FoundAD

[ICLR 2026] 论文《基础视觉编码器是秘密的少量样本异常检测器》的实现

lzz19980125 /awesome-multivariate-time-series-anomaly-detection-algorithms

This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.

google-research /spade_anomaly_detection

Semi-supervised anomaly detection method

TrustAGI-Lab /ANEMONE

[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".

LeapMind /MLF-SC

Anomaly detection method that incorporates multi-scale features to sparse coding

gireeshkbogu /AnomalyDetect

Detects anomalous resting heart rate from smartwatch data.

HoloInsight /holoinsight-ai

This project provides a time series anomaly detection algorithm based on the dynamic threshold generation model.

LeoPits /OCR-Dot-matrix-text

OCR to detect and recognize dot-matrix text written with inkjet-printed on medical PVC bag

AIS-Package /aisp

Artificial Immune Systems Package (AISP) is an open-source Python library that features bio-inspired algorithms based on artificial immune systems for machine learning, pattern recognition, anomaly detection, and optimization tasks.

JBris /time_series_anomaly_detection_examples

Several examples of anomaly detection algorithms for time series data.

LeoPits /Vessels-anomaly-detection-with-AIS-data

Anomaly detection from ships' Automatic Identification System (AIS) data

ShizhenChang /NJCR

Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection

FelixDJC /NLGAD

An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.

XuexiongLuoMQ /GLADC

The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.

eburakaytekin /MultHyAD

Multivariate distributions for hyperspectral anomaly detection based on autoencoder

gireeshkbogu /LAAD

Uses LSTM-based autoencoders to detect abnormal resting heart rate during the coronavirus (SARS-CoV-2) infectious period using the wearables data.

ayush-agarwal-0502 /Machine-Predictive-Maintainence-Anomaly-Detection

Anomaly Detection deployed on machine data dataset for Predictive Maintenance

datasig-ac-uk /signature_mahalanobis_knn

Methodology for anomaly detection on multivariate streams using path signatures and the variance norm.