anomaly-detection-algorithm
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Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contribut…
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Jul 10, 2023
An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection
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Dec 3, 2024 - Jupyter Notebook
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
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Sep 9, 2021 - Python
This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.
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Sep 11, 2025
Semi-supervised anomaly detection method
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Jul 7, 2025 - Python
Anomaly detection method that incorporates multi-scale features to sparse coding
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Jun 18, 2020 - Python
Detects anomalous resting heart rate from smartwatch data.
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Jun 22, 2022 - Python
This project provides a time series anomaly detection algorithm based on the dynamic threshold generation model.
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Nov 22, 2023 - Python
The implementation of the paper Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
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Oct 7, 2025 - Python
Several examples of anomaly detection algorithms for time series data.
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Nov 20, 2024 - Python
Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection
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Nov 9, 2022 - MATLAB
An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.
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Dec 1, 2023 - Python
The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.
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Feb 10, 2023 - Python
OCR to detect and recognize dot-matrix text written with inkjet-printed on medical PVC bag
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Apr 15, 2022 - Python
Uses LSTM-based autoencoders to detect abnormal resting heart rate during the coronavirus (SARS-CoV-2) infectious period using the wearables data.
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Jan 22, 2021 - Python
Anomaly detection from ships' Automatic Identification System (AIS) data
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Nov 2, 2024 - Jupyter Notebook
Anomaly Detection deployed on machine data dataset for Predictive Maintenance
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Feb 14, 2024 - Jupyter Notebook
Multivariate distributions for hyperspectral anomaly detection based on autoencoder
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Jan 26, 2022 - MATLAB
Methodology for anomaly detection on multivariate streams using path signatures and the variance norm.
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Dec 9, 2024 - Jupyter Notebook
This project focuses on network anomaly detection due to the exponential growth of network traffic and the rise of various anomalies such as cyber attacks, network failures, and hardware malfunctions. This project implement clustering algorithms from scratch, including K-means, Spectral Clustering, Hierarchical Clustering, and DBSCAN
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Jun 11, 2023 - Jupyter Notebook
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