dLLM: Simple Diffusion Language Modeling

Official codebase for "Self Forcing: Bridging Training and Inference in Autoregressive Video Diffusion" (NeurIPS 2025 Spotlight)

OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation(ICML 2025)

GenDR: Lightning Generative Detail Restorator

PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)

Score identity Distillation with Long and Short Guidance for One-Step Text-to-Image Generation

Pytorch implementation of LEGO-Diffusion: Learning stackable and skippable LEGO bricks for efficient, reconfigurable, and variable-resolution diffusion modeling

Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

Pytorch implementation of TDPM

A Python Library for Deep Probabilistic Models

Repository for conditional transport

This is the demo code for "WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling"

The code for the paper "Inter and Intra Topic Structure Learning with Word Embeddings" in ICML 2018.

A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural networks and hierarchical distribution (ICML 2018).

Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)