This is the code that we used to generate our GAN 1D Gaussian approximation.
Written for Python 3.x
(tested on 3.6.1
).
For the Python dependencies, first install the requirements file:
$ pip install -r requirements.txt
If you want to also generate the animations, you need to also make sure that ffmpeg
is installed and on your path.
For a full list of parameters, run:
$ python gan.py --help
To run without minibatch discrimination (and plot the resulting distributions):
$ python gan.py
To run with minibatch discrimination (and plot the resulting distributions):
$ python gan.py --minibatch
my_cgan_tensorfolw.py is a conditional generative adversarial networks test about MNIST database.