Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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

Anomaly detection related books, papers, videos, and toolboxes

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

TODS: An Automated Time-series Outlier Detection System

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

A Python Library for Graph Outlier Detection (Anomaly Detection)

Benchmarking Generalized Out-of-Distribution Detection

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

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

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

A Deep Graph-based Toolbox for Fraud Detection

Deep learning-based outlier/anomaly detection

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

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

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

An End-to-end Outlier Detection System

Open-source framework to detect outliers in Elasticsearch events

(WWW'21) ATON - an Outlier Interpreation / Outlier explanation method

TOD: GPU-accelerated Outlier Detection via Tensor Operations