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