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.
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.
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