[CVPR 2026 Oral] VGGT Omega

Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals

[ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention

A summary of related works about flow matching, stochastic interpolants

A comprehensive catalog of modern and classic books on C++ programming language

C/C++学习，后端开发进阶指南。

A summary of all lucidrains repositores and links to training / research approaches by LAION or other communities.

A collection of paper/projects that trains flow matching model/policies via RL.

Transition Models

[ICML 2025] Official Code of Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains

[ICML2025] Official Code of From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection

TorchCFM: a Conditional Flow Matching library

Autoregressive policies for continuous control reinforcement learning

Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.

Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch

Transform your Org mode files into stunning HTML documents in minutes with our Org mode HTML theme. Elevate your productivity and impress your readers! #orgmode #html #theme #productivity #design

A curated list of world models for autonomous driving.

A Python script for "flattening" a nested LaTeX document by pulling in all the \input files

Multimodal Models in Real World

Official implementation of SEED-LLaMA (ICLR 2024).

A concise but complete full-attention transformer with a set of promising experimental features from various papers

This repo contains the code for 1D tokenizer and generator

Implementation of Autoregressive Diffusion in Pytorch

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

Simulation platform for general-purpose robotics & embodied AI learning.

[NeurIPS 2024] official implementation of Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments

[CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.