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University of Macau
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Stars
本科华五,曾赴美qs50读博,某兄弟院校副教授,校园门卫亭女性主理人,为防止炸号的备份平台,是本人。
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Acceptance rates for the major AI conferences
Edge Accelerated Robot Navigation With Collaborative Motion Planning
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2019 DGIST DPoom project under UGRP : SBC and RGB-D camera based full autonomous driving system for mobile robot with indoor SLAM
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
Model Predictive Contouring Controller to control a F110 car
《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
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
[ICCV'23] Hidden Biases of End-to-End Driving Models & A starter kit for the CARLA leaderboard 2.0.
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Driving Everywhere with Large Language Model Policy Adaptation
A Python-based lightweight robot simulator designed for navigation, control, and reinforcement learning
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…
A ROS2-based framework for TurtleBot3 DRL autonomous navigation
💯2026年 系统架构设计师(软考高级)备考资源库+配套免费刷题软件。
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
Chinese software copyright application template document
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Models
[TRO 2025] NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning.
[RA-Letter 2022] Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards