具身智能入门指南 Embodied-AI-Guide

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

The repo for "Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator"

Curated list of recent visual autoregressive (VAR) modeling works

Latest Advances on System-2 Reasoning

🧑‍🚀 全世界最好的LLM资料总结（数据处理、模型训练、模型部署、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

Clean, minimal, accessible reproduction of DeepSeek R1-Zero

Solve Visual Understanding with Reinforced VLMs

[ICLR2025] Official code implementation of Video-UTR: Unhackable Temporal Rewarding for Scalable Video MLLMs

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation

DeepTimber Robotics Talent Call | DeepTimber社区具身智能招贤榜 | A list for Embodied AI / Robotics Jobs (PhD, RA, intern, full-time, etc

Witness the aha moment of VLM with less than $3.

ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

🦄 Record your terminal and generate animated gif images or share a web player

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

Janus-Series: Unified Multimodal Understanding and Generation Models

Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence

基于Qwen-2.5-1.5B 进行DPO fine-tuning后，意外说真话的AI暴躁哥

[Survey] Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.

Official code implementation of Slow Perception:Let's Perceive Geometric Figures Step-by-step

Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering