🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

"Deep Generative Modeling": Introductory Examples

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

Noise Conditional Score Networks (NeurIPS 2019, Oral)

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

Official PyTorch implementation of the paper Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

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

This repository implements time series diffusion in the frequency domain.

Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction

A simple, easy-to-understand library for diffusion models using Flax and Jax. Includes detailed notebooks on DDPM, DDIM, and EDM with simplified mathematical explanations. Made as part of my journey for learning and experimenting with generative AI.

Model Zoo for Generative Models.

Minimal unofficial implementation of Consistency Trajectory models on a 1D toy task.

Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.

[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation