Popular GitHub Repositories for Outlier Scores

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

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

Keras Attention Layer (Luong and Bahdanau scores).

Algorithms for outlier, adversarial and drift detection

TODS: An Automated Time-series Outlier Detection System

similarity: Text similarity calculation Toolkit for Java. 文本相似度计算工具包，java编写，可用于文本相似度计算、情感分析等任务，开箱即用。

:red_circle: 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.

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no crazy configs, no giant monorepo—but scores 65% on SWE-bench verified!

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

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

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

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)