Awesome resources on normalizing flows.

Rectified Flow Inversion (RF-Inversion) - ICLR 2025

Deep Learning sample programs using PyTorch in C++

Regression Transformer (2023; Nature Machine Intelligence)

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

ECCV 2024 SuperGaussian for generic 3D upsampling

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

Learn single-cell dynamics using neural differential equations

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

Generative Modeling with Optimal Transport Maps - ICLR 2022

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

Flow-based generative model for 3D point clouds.

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

Noise Contrastive Estimation (NCE) in PyTorch

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

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

Anchored Diffusion Language Model (NeurIPS 2025)

Multiplicative Normalizing Flows in PyTorch.

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

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

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

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

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

Generative modeling of seismic waveforms

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! 🌌✨

A Survey on Causal Generative Modeling (TMLR 2024)

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

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

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

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