The authors' official PyTorch SigWGAN implementation

This repository is the official implementation of [Sig-Wasserstein GANs for Time Series Generation]

Authors: Hao Ni, Lukasz Szpruch, Marc Sabate-Vidales, Baoren Xiao, Magnus Wiese, Shujian Liao

Requirements

To setup the conda environment:

conda env create -f requirements.yml

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
configs		configs
datasets		datasets
lib		lib
README.md		README.md
environment.yml		environment.yml
evaluate.py		evaluate.py
train.py		train.py
train_rough.py		train_rough.py