Gans Python Packages

descript-audio-codec

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

sdv

Synthetic data generation for tabular data

ydata-synthetic

Synthetic data generators for tabular and time-series data

avitai-artifex

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

descript-audio-codec-unofficial

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

torchgan

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

gansforvirtualeye

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

torch-mimicry

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

fg-data-synthetic

Synthetic data generators for tabular and time-series data

torchflare

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

ganetic

A collection of highly customizable GANs implemented in PyTorch.

dpsdv

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

medigan

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

easygan

DCGAN for everyone

tnagen

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

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

ganpdfs

Generative Adversarial Networks (GANs) for MC PDF replicas.

sige

Spatially Incremental Generative Engine (SIGE)

evan

Evaluation framework for GANs for video generation