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Gans Python Packages

Python packages with the GitHub topic gans. Sorted by relevance, with stars and monthly downloads.
descriptinc
descript-audio-codec

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

429K 2K 179
sdv-dev
sdv

Synthetic data generation for tabular data

136K 3K 417
ydataai
ydata-synthetic

Synthetic data generators for tabular and time-series data

9K 2K 260
avitai
avitai-artifex

A research-focused modular generative modeling library built on JAX/Flax NNX

3K 1 0
descriptinc
descript-audio-codec-unofficial

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

2K 2K 179
torchgan
torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

1K 1K 168
shailendrabhandari
gansforvirtualeye

GANs package for stochastic timeseries generation: https://doi.org/10.1038/s41598-025-05286-5

849 2 0
kwotsin
torch-mimicry

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

663 608 62
Data-Centric-AI-Community
fg-data-synthetic

Synthetic data generators for tabular and time-series data

628 2K 260
Atharva-Phatak
torchflare

TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.

583 84 6
kingjuno
ganetic

A collection of highly customizable GANs implemented in PyTorch.

520 10 2
AmanPriyanshu
dpsdv

Creating a Differential Privacy securing Synthetic Data Generation for tabular, relational and time series data.

468 9 2
RichardObi
medigan

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

287 198 23
sleepy-maker
easygan

DCGAN for everyone

286 11 1
sStaite
tnagen

TNAgen is a python package that allows users to generate transient noise artifacts in gravitational-wave detector data using a GAN model.

247 0 0
rajaddr
simpliml

SimpliML is a versatile machine learning library designed to be a one-stop solution for the entire data lifecycle. Whether you're preparing raw data or deploying advanced predictive models, SimpliML simplifies every step of the machine learning process

235 0 0
N3PDF
ganpdfs

Generative Adversarial Networks (GANs) for MC PDF replicas.

130 0 0
lmxyy
sige

Spatially Incremental Generative Engine (SIGE)

116 268 13
raahii
evan

Evaluation framework for GANs for video generation

100 21 6
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