Search 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

descript-audio-codec-unofficial

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

avitai-artifex

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

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.

dpsdv

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

torchflare

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

fg-data-synthetic

Synthetic data generation methods with different synthetization methods.

ganetic

A collection of highly customizable GANs implemented in PyTorch.

easygan

easygan

simpliml

Machine Learning, Artificial Intelligence, Mathematics

medigan

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

tnagen

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

sige

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

ganpdfs

Generative Adversarial Networks (GANs) for MC PDF replicas.

evan

Evaluation framework for GANs for video generation