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Peking University
- Beijing
- https://gaiejj.github.io/
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One framework to evaluate any VLA model on any robot simulation benchmark.
AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and supp…
Official Code for "GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training" (ICML 2026) https://arxiv.org/pdf/2602.20399
DreamX-World: A General-Purpose Interactive World Model
A curated list of Robotics + AI resources to learn, build, deploy, and stay current in Physical AI / Embodied AI. 🌟 Star if you like it!
A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory
Open-source simulator for autonomous driving research.
[CVPR 2026 (Highlight)] Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction
Official code for "LagerNVS Latent Geometry for Fully Neural Real-time Novel View Synthesis" (CVPR 2026)
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Allegro is a powerful text-to-video model that generates high-quality videos up to 6 seconds at 15 FPS and 720p resolution from simple text input.
AI agents running research on single-GPU nanochat training automatically
LlamaIndex is the leading document agent and OCR platform
Official Codebase for "DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos" (ICML 2026)
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
This repo is the official implementation of “Are Your Agents Upward Deceivers?”. The paper is accepted by ICML 2026.