AdaGAN: greedy iterative procedure to train mixtures of GANs
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AdaGAN: Boosting Generative Models

This project implements the AdaGAN algorithm, presented in this paper.

Getting started

It is assumed that the user runs TensorFlow of version > 12.

Make sure the directory where you run code also contains sub-directories called mnist and models containing MNIST datasets and the pre-trained MNIST classifier respectively (provided in this repo).


Gaussian Mixture Experiments

python [options]

MNIST Experiments

python [options]

3-digit MNIST Experiments

python [options]

Code is still under development and can be modified