anomaly

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

Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Tidy anomaly detection

Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.

Time-Series Anomaly Detection Comprehensive Benchmark

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

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.

Learn time-series anomaly detection from z-scores to state-of-the-art deep models: runnable notebooks, honest evaluation, real-world case studies.

Datasets for Predictive Maintenance

The easiest way to get started with OpenTUI is by using create-tui. This CLI tool enables you to quickly start building a new OpenTUI application, with everything set up for you.

Awesome Video Anomaly Detection

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

MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection