Awesome resources on normalizing flows.

Rectified Flow Inversion (RF-Inversion) - ICLR 2025

Regression Transformer (2023; Nature Machine Intelligence)

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

ECCV 2024 SuperGaussian for generic 3D upsampling

Official repo of ICASSP 2024 paper - Generative De-Quantization for Neural Speech Codec via Latent Diffusion.

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

Flow-based generative model for 3D point clouds.

Noise Contrastive Estimation (NCE) in PyTorch

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

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

Multiplicative Normalizing Flows in PyTorch.

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

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

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

ICLR25 | Official code base for Denoising Levy Probabilistic Models (DLPM)

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

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

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