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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.

520K 2K 178
sdv-dev
sdv

Synthetic data generation for tabular data

141K 3K 417
ydataai
ydata-synthetic

Synthetic data generators for tabular and time-series data

9K 2K 260
descriptinc
descript-audio-codec-unofficial

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

3K 2K 178
avitai
avitai-artifex

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

2K 1 0
torchgan
torchgan

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

913 1K 168
shailendrabhandari
gansforvirtualeye

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

696 2 0
kwotsin
torch-mimicry

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

509 608 62
Atharva-Phatak
torchflare

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

480 84 6
Data-Centric-AI-Community
fg-data-synthetic

Synthetic data generation methods with different synthetization methods.

455 2K 260
AmanPriyanshu
dpsdv

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

421 9 2
kingjuno
ganetic

A collection of highly customizable GANs implemented in PyTorch.

415 10 2
sleepy-maker
easygan

easygan

242 10 1
RichardObi
medigan

medigan is a modular open-source Python library that provides an interface to multiple generative models and automates synthetic dataset generation.

242 197 22
rajaddr
simpliml

Machine Learning, Artificial Intelligence, Mathematics

234 0 0
sStaite
tnagen

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

206 0 0
lmxyy
sige

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

108 268 13
N3PDF
ganpdfs

Generative Adversarial Networks (GANs) for MC PDF replicas.

103 0 0
raahii
evan

Evaluation framework for GANs for video generation

81 21 6
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