Skip to content

Latest commit

 

History

2 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AAAD

Source code for the paper "AAAD: Asynchronous Inter-variable Relationship-Aware Anomaly Detection for Multivariate Time Serie"

Get Started

  1. Install Python3.7, PyTorch $\geq$ 1.4.0.
  2. Download data to dataset folder. You can obtain four benchmarks from Google Cloud. All the datasets are well pre-processed. For the SWaT dataset, you can apply for it by following its official tutorial.
  3. Train and evaluate. run python main.py. The result records are in the res directory.

The overview of AAAD

Main Result

About

Source code for the paper "AAAD: Asynchronous Inter-variable Relationship-Aware Anomaly Detection for Multivariate Time Series"

Resources

Stars

2 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages