anomalibAn anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
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SECOSAn unsupervised compound splitter
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khiva-rubyHigh-performance time series algorithms for Ruby
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FARED for Anomaly DetectionOfficial source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
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scanstatisticsAn R package for space-time anomaly detection using scan statistics.
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tilitools[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction
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PANDAPANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)
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detection-rulesThreat Detection & Anomaly Detection rules for popular open-source components
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DCSOSupplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
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Meta-GDN AnomalyDetectionImplementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
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MemStreamMemStream: Memory-Based Streaming Anomaly Detection
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opensnitchOpenSnitch is a GNU/Linux application firewall
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anomaly-segThe Combined Anomalous Object Segmentation (CAOS) Benchmark
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SyntheticSunSyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.
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MStreamAnomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
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EVT使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置
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Digital-Image-WatermarkingDigital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC
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XGBODSupplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
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trafficA quick and dirty vehicle speed detector using video + anomaly detection
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A-Detector⭐ An anomaly-based intrusion detection system.
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dti-sprites(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper
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outliertree(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
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Anomaly Detectionanomaly detection with anomalize and Google Trends data
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adVAEImplementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
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RectiNetA Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping
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Course-Recommendation-SystemA system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
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mvGAEDrug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
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PyAnomalyUseful Toolbox for Anomaly Detection
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mvts-ano-evalA repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)
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awesome-time-seriesResources for working with time series and sequence data
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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MerlionMerlion: A Machine Learning Framework for Time Series Intelligence
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RTFMOfficial code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]
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UDLFAn Unsupervised Distance Learning Framework for Multimedia Retrieval
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kdsb17Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
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mtad-gat-pytorchPyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
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deviation-network-imageOfficial PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.
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DigitalCellSorterDigital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:
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ThioThio - a playground for real-time anomaly detection
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MIST VADOfficial codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"
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