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

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

Anomaly detection related books, papers, videos, and toolboxes

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

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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 …

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

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

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

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

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

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

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

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

Kibana Alert & Report App for Elasticsearch

TODS: An Automated Time-series Outlier Detection System