Search Packages

copulas

A library to model multivariate data using copulas.

sdv

Synthetic data generation for tabular data

image-reward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

zuko

Normalizing flows in PyTorch

nflows

Normalizing flows in PyTorch

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

miditok

MIDI / symbolic music tokenizers for Deep Learning models 🎶

stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

azula

Diffusion models in PyTorch

genqc

Generative Quantum Circuits

scyan

Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.

prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

bayesianflow-for-chem

ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University.

causalegm

A General Causal Inference Framework by Encoding Generative Modeling

mimikit

Music Modeling Kit

scgen

Single cell perturbation prediction

torchgan

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

torchflows

Modern normalizing flows in Python. Simple to use and easily extensible.

gpt2lm

A implimentation of GPT2 varient.

texturize

🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

deepgen

A Collection of modern Deep Generative Models

evodiff

Python package for generation of protein sequences and evolutionary alignments via discrete diffusion models

lamda-ssl

30 Semi-Supervised Learning Algorithms

molecule-generation

Implementations of deep generative models of molecules.