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

A unified framework for machine learning with time series

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

Anomaly detection related books, papers, videos, and toolboxes

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

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

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).

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

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

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

TODS: An Automated Time-series Outlier Detection System

A Python Library for Graph Outlier Detection (Anomaly Detection)

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

Unsupervised time series anomaly detection library

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

Anomaly Detection and Correlation library

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano