Skip to content
/ GRU-D Public

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

Notifications You must be signed in to change notification settings

zhiyongc/GRU-D

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 

Repository files navigation

Code of Re-implementing the methodology in the paper:

Recurrent Neural Networks for Multivariate Time Series with Missing Values

This method can be used for dealing with time series with missing values, especially for time series with non-fixed time intervals.

Environment

  • Python 3.6.1
  • PyTorch 0.4.1

Cite

@article{che2018recurrent,
  title={Recurrent neural networks for multivariate time series with missing values},
  author={Che, Zhengping and Purushotham, Sanjay and Cho, Kyunghyun and Sontag, David and Liu, Yan},
  journal={Scientific reports},
  volume={8},
  number={1},
  pages={6085},
  year={2018},
  publisher={Nature Publishing Group}
}

About

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages