Manage your detectors and identify atypical data in OpenSearch Dashboards

Univariate Time-Series Anomaly Detection algorithms from TSB-UAD

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 🚀.

Machine learning and data analysis package implemented in JavaScript and its online demo.

Managed app for the host-based intrusion detection agent Falco.

Log data -> Kafka (MSK) - Lambda -> OpenSearch - Anomaly Detection

autoupdate paper list

Repository of the Tranferlab Practical Anomaly Detection workshop

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

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

ThirdEye is an integrated tool for realtime monitoring of time series and interactive root-cause analysis.

Anomalous sound detection on machinery sounds

Time series forecasting for Ruby

Deep learning-based outlier/anomaly detection

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

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

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

Contains interesting projects like Cat face detection, cat face recognition, code generation, Building chatbot, finding similar documents, image segmentation, UCI credit card, anomaly detection, MNIST etc.

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

Code for structural temporal graph neural networks for anomaly detection in dynamic graphs