InterpretableSAD

A game theoretic approach to explain the output of any machine learning model.

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

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.

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

A curated list of awesome anomaly detection resources