Jafagervik / TimeGAN.jl

Julia implementation of "Time-series Generative Adversarial Networks (TimeGAN)"

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TimeGAN.jl

Julia implementation of "Time-series Generative Adversarial Networks (TimeGAN)"

This repository contains a Julia implementation of the paper "Time-series Generative Adversarial Networks (TimeGAN)" by Yoon et al..

The original Python code can be found on the author's GitHub.

Disclaimer: While the current code is functional, it is still unfinished and not fully tested.

TODO List

  • Add GPU compatibility
  • Make z_dim match data dimension (or not?)
  • Add data loading utilities
  • Add data scaling
  • Complete / polish docstrings
  • Add example usage / notebook
  • Add moments losses for generator
  • Loss sizing

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Julia implementation of "Time-series Generative Adversarial Networks (TimeGAN)"


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