Unsupervised-Anomaly-Detection-in-Noisy-Time-Series-Data-for-Enhancing-Load-Forecasting

Hastic python core for processing machine learning tasks. Could be used separately.

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.

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