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GAN trained on superconductivity data

Project description

SuperconGAN

Build Status

A program to train a GAN using superconductivity data. It was inspired by and is based off of the CTGAN library for generating GANs for tabular datasets.

To install, please use the following command in a terminal window:

python3 -m pip install SuperconGAN --upgrade

Starter Example

To get a feel for the package, try running the following code, after installing the package (above):

import SuperconGAN

model = SuperconGAN.Synthesizer()
model.fit(epochs = 5)
model.sample(n = 10)

Documentation

Will be added shortly.

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