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

A curated list of awesome anomaly detection resources

Algorithms for outlier, adversarial and drift detection

Kibana Alert & Report App for Elasticsearch

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Anomaly detection

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Tidy anomaly detection

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

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

Time-Series Anomaly Detection Comprehensive Benchmark

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

[NeurIPS 2024] Official Implementation of Hawk: Learning to Understand Open-World Video Anomalies

Anomaly detection for streaming time series, featuring automated model selection.

Anomaly detection tutorial on univariate time series with an auto-encoder

Datasets for Predictive Maintenance

Examples of not obvious behaviors for javascript beginner programmers

MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

List of datasets and papers in X-ray security images (Computer vision/Machine Learning)