PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network

IDPS-ESCAPE: Intrusion Detection and Prevention System - Enhanced Security through a Cooperative Anomaly Prediction Engine. SOAR via a Risk-aware Anomaly Detection-based Automated Response (RADAR) subsystem and a deep learning-based AD subsystem (SONAR), integrated with Wazuh, Flowintel, Suricata

MLflow version of MTAD-GAT

Workflow for training & deploying an anomly detection model based on MTAD-GAT-mlflow