Lists (1)
Stars
LeRobot sim2real code. Train in fast simulation and deploy visual policies zero shot to the real world
World Model based Autonomous Driving Platform in CARLA 🚗
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
[AAAI 2025] Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving
Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation
A high-performance runtime framework for modern robotics.
All in one vscode plugin for mcp developer
XLeRobot: Fully Autonomous Household Dual-Arm Mobile Robot for $998
1 million FPS multi-agent driving simulator
AutoMQ is a stateless/diskless Kafka on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation
Extend OpenRLHF to support LMM RL training for reproduction of DeepSeek-R1 on multimodal tasks.
Retargeting EX12(Exoskeleton Glove) to GX11(Dexterous Hand)
Unofficial implementation of "Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting", ECCV2024.
[Lumina Embodied AI Community] 具身智能技术指南 Embodied-AI-Guide
LightwheelOcc: A 3D Occupancy Synthetic Dataset in Autonomous Driving
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
This Python-based simulation platform can realistically model various components of the UAV network, including the network layer, MAC layer and physical layer, as well as the UAV mobility model, en…
专门为Cesium打造的低代码可视化平台，提供了企业级支持，已被众多GIS公司采用。
Building Open-Ended Embodied Agents with Internet-Scale Knowledge
[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Advanced control (iLQR, MPC, GNMS) examples with control toolbox in ROS
Cosmos-Predict1 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.
[CVPR 2025] UniScene: Unified Occupancy-centric Driving Scene Generation