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[ICLR 2026] Official code of "Segment any Events with Language"
Nav2 costmap layer for semantic segmentation
A system for building 3D Scene Graphs from sensor data in real-time
A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.
Official implementation of the paper "Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning"
Nav2 Compatible Complete Cover Task Server, Navigator, & BT Utils
[ICRA 2025] DARE: Diffusion Policy for Autonomous Robot Exploration
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
《动手学大模型Dive into LLMs》系列编程实践教程
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Legacy-Mess Detector – assess the “legacy-mess level” of your code and output a beautiful report
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
这是一份入门AI/LLM大模型的逐步指南，包含教程和演示代码，带你从API走进本地大模型部署和微调，代码文件会提供Kaggle或Colab在线版本，即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡，你可以尝试在里面实验一些有意思的AI脚本。同时，包含李宏毅 (HUNG-YI LEE）2024生成式人工智能导论课程的完整中文镜像作业。
BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive
[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
[ICCV 2023 & ICLR 2026] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Python library to generate linked OpenDRIVE and OpenSCENARIO files
This is a project for parsing opendrive .xodr file and visualization using matplotlib
A list of robotics companies using the Robot Operating System (ROS and ROS 2).
MetaDrive: Lightweight driving simulator for everyone
A minimalist environment for decision-making in autonomous driving
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Python sample codes and textbook for robotics algorithms.
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)