GAN trained on superconductivity data
Project description
SuperconGAN
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()
Documentation
Will be added shortly.
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