paul-corbalan/wasserstein-gan
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README.md

Wasserstein GAN

This project is based on the following resources:

Use

python main.py --dataset folder --dataroot data/maps --imageSize 256
Description
This project consisted in studying GANs in the case of Wasserstein distance, as part of the fifth-year course at INSA Toulouse in Applied Mathematics of High Dimensional and Deep Learning.
GANpythonscholarship
Readme 312 MiB
Languages
Jupyter Notebook 95.1%
Python 4.9%