anomaly-detection

Anomaly detection related books, papers, videos, and toolboxes

An open-source, low-code machine learning library in Python

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

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

A curated list of awesome anomaly detection resources

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.

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

Find big moving stocks before they move using machine learning and anomaly detection

Kibana Alert & Report App for Elasticsearch

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

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

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

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

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

Anomaly Detection and Correlation library

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

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

A toolkit for automated log parsing [ICSE'19, TDSC'18, ICWS'17, DSN'16]