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GAN trained on superconductivity data

Project description

SuperconGAN

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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.

Installation

To install the latest version, 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.

Project details


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