generative-modeling

LituRout/RF-Inversion

Rectified Flow Inversion (RF-Inversion) - ICLR 2025

koba-jon/pytorch_cpp

Deep Learning sample programs using PyTorch in C++

IBM/regression-transformer

Regression Transformer (2023; Nature Machine Intelligence)

hmdolatabadi/denoising_diffusion

Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)

adobe-research/SuperGaussian

ECCV 2024 SuperGaussian for generic 3D upsampling

jarridrb/DEM

Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

SHI-Yu-Zhe/generative-modeling-explained

Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.

LituRout/OptimalTransportModeling

Generative Modeling with Optimal Transport Maps - ICLR 2022

haiciyang/LaDiffCodec

ICASSP 2024 - Generative De-Quantization for Neural Speech Codec via Latent Diffusion.

Regenerator/dpf-nets

Flow-based generative model for 3D point clouds.

LouisRouss/DiffuLab

DiffuLab is designed to provide a simple and flexible way to train diffusion models while allowing full customization of its core components.

lucidrains/discrete-distribution-network

Exploration into Discrete Distribution Network, by Lei Yang out of Beijing

volagold/nce

Noise Contrastive Estimation (NCE) in PyTorch

swyoon/Diffusion-by-MaxEntIRL

The official repository for NeurIPS 2024 Oral <Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models>

janosh/torch-mnf

Multiplicative Normalizing Flows in PyTorch.

darioShar/DLPM

ICLR25 | Official code base for Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models (DLPM)

BIT-DA/DUSA

[NeurIPS 2024] Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation

giulio98/functional-diffusion-processes

Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).

hmdolatabadi/LRS_NF

[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".

milenagazdieva/LightUnbalancedOptimalTransport

PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)

MahanVeisi8/Latent-Diffusion-MNIST-DDPM-using-Autoencoder

Unlock the potential of latent diffusion models with MNIST! 🚀 Dive into reconstructing and generating digits using cutting-edge techniques like Autoencoders with Channel Attention Blocks and DDPMs. Perfect for enthusiasts of computer vision, deep learning, and generative modeling! 🌌✨

hkchengrex/C2OT

[ICCV 2025] The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation

LituRout/ADLM

Anchored Diffusion Language Model (NeurIPS 2025)

highfem/tqdne

Generative modeling of seismic waveforms

Akomand/Causal-Generative-Modeling-Survey

A Survey on Causal Generative Modeling (TMLR 2024)

milenagazdieva/OT-Super-Resolution

Pytorch implementation of "An Optimal Transport Perspective on Unpaired Image Super-Resolution" (JOTA 2025)

tqch/poisson-jump

Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)

anish-lakkapragada/FaceMorpher

Watch faces morph into each other with StyleGAN 2, StyleGAN, and DCGAN!

krisrs1128/generative_review

Code accompanying "Generative Models: An Interdisciplinary Perspective"

rf-inversion/rf-inversion.github.io

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

scDiffEq/scDiffEq

chao1224/AssembleFlow

Code for AssembleFlow, ICLR 2025

shoelim/FM_forecasting

Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting

XinyiYS/CML-RewardDistribution

The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.

zilaeric/asyrp-extension

Reproduction and extension of "Diffusion Models Already Have a Semantic Latent Space" by Kwon et al. (2023).