Table of Contents
This project contains an intuitive library for interacting with compression methods for use in conjunction with a domain decomposition predictive GAN. This draws on ideas from recent research on domain decomposition methods for reduced order modelling and predictive GANs. It also contains some test examples.
- Python 3.8
- Tensorflow and other packages in
requirements.txt
git clone https://github.com/acse-zrw20/DD-GAN-AE
git clone https://github.com/acse-zrw20/DD-GAN-AE
cd ./DD-GAN-AE
pip install -e .
In a python file, import the following to use all of the functions:
import ddganAE
For examples, see examples folder which contains a jupyter notebook with examples
Distributed under the MIT License. See LICENSE
for more information.
- Wolffs, Zef zefwolffs@gmail.com
- Dr. Claire Heaney
- Prof. Christopher Pain
- Royal School of Mines, Imperial College London