anomaly-detection

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 unified framework for machine learning with time series

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

A python library for user-friendly forecasting and anomaly detection on time series.

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

STUMPY is a powerful and scalable Python library for modern time series analysis

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

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

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A high-level machine learning and deep learning library for the PHP language.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

A Python Library for Graph Outlier Detection (Anomaly Detection)

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Unsupervised time series anomaly detection library

Kibana Alert & Report App for Elasticsearch

Anomaly Detection and Correlation library

A Python toolkit for rule-based/unsupervised anomaly detection in time series

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

An Awesome List of the latest time series papers and code from top AI venues.

Benchmarking Generalized Out-of-Distribution Detection

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)