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This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".
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README.md

The Numerics of GANs

This repository contains the code to reproduce the core results from the paper The Numerics of GANs.

To cite this work, please use

@INPROCEEDINGS{Mescheder2017NIPS,
  author = {Lars Mescheder and Sebastian Nowozin and Andreas Geiger},
  title = {The Numerics of GANs},
  booktitle = {Advances in neural information processing systems},
  year = {2017}
}

You can find further details on our project page.

Dependencies

This project uses Python 3.5.2. Before running the code, you have to install

These dependencies can be installed using pip by running

pip install tensorflow-gpu numpy scipy matplotlib tqdm

Instructions

First download cifar-10 and celebA and put them into the ./data directory (in seperate folders). The experiments folder contains scripts for starting the different experiments.

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