A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Anomaly detection related books, papers, videos, and toolboxes

STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks

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

(THIS VERSION IS NOT MAINTAINED, see note below) Siren Platform + Kibana Alert & Report App for Elasticsearch

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

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

A curated list of awesome anomaly detection resources

Anomaly Detection and Correlation library

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

A log analysis toolkit for automated anomaly detection [ISSRE'16]

RNN based Time-series Anomaly detector model implemented in Pytorch.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

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

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

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.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

WinDBG Anti-RootKit Extension

A large collection of system log datasets for AI-powered log analytics

An Integrated Experimental Platform for time series data anomaly detection.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Anomaly detection implemented in Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Machine Learning Lectures at the European Space Agency (ESA) in 2018

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 BERT.

Python module for hyperspectral image processing