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.
1 maintainer
Metadata
1 maintainer
Release files for SuperconGAN 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SuperconGAN-0.2.5.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SuperconGAN-0.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.5 kB
Release files / SuperconGAN-0.2.5.tar.gz
| Download URL | SuperconGAN-0.2.5.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.2
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Release files / SuperconGAN-0.2.5-py3-none-any.whl
| Download URL | SuperconGAN-0.2.5-py3-none-any.whl |
|---|---|
| Size | 6.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.2
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