ML4ITS /mtad-gat-pytorch
Zhao等人对MTAD-GAT(通过图形注意力网络进行多元时间序列异常检测)的PyTorch实现。al(2020,https://arxiv.org/abs/2009.02040)。
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mtad-gat 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
Zhao等人对MTAD-GAT(通过图形注意力网络进行多元时间序列异常检测)的PyTorch实现。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. ML-driven SOAR via a Risk-aware Anomaly Detection and Automated Response (RADAR) subsystem and a deep learning-based AD subsystem (SONAR), integrated with Wazuh, Flowintel, MISP, Suricata and SATRAP-DL.
MLflow version of MTAD-GAT
Workflow for training & deploying an anomly detection model based on MTAD-GAT-mlflow