The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Anomaly detection related books, papers, videos, and toolboxes

List of tools & datasets for anomaly detection on time-series data.

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

TODS: An Automated Time-series Outlier Detection System

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

A Python Library for Graph Outlier Detection (Anomaly Detection)

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

ELKI Data Mining Toolkit

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Benchmarking Generalized Out-of-Distribution Detection

A python library for time-series smoothing and outlier detection in a vectorized way.

ML powered analytics engine for outlier detection and root cause analysis.

Curated list of open source tooling for data-centric AI on unstructured data.

A Deep Graph-based Toolbox for Fraud Detection

The Official Repository for "Generalized OOD Detection: A Survey"

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.