Popular GitHub Repositories for Anomaly Explanation

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

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A unified framework for machine learning with time series

Anomaly detection related books, papers, videos, and toolboxes

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

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

Merlion: A Machine Learning Framework for Time Series Intelligence

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

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

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

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 ?.

A curated list of awesome anomaly detection resources

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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)。

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

Algorithms for outlier, adversarial and drift detection

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

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and?code

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).