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[TKDE 2024, CIKM 2022] SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation.
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.
A curated list of awesome anomaly detection resources
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 ?.
Algorithms for outlier, adversarial and drift detection