Hong Kong

108 projets originaires de Hong Kong · 458k étoiles au total

39 de comptes personnels69 d'organisations

Hong Kong compte 108 projets d'IA open source suivis, dont nanobot, CLI-Anything, LightRAG. L'écosystème penche vers aerial-robotics, motion-planning, graphrag. La localisation est déclarée par les propriétaires sur leur profil GitHub.

Une organisation déclare son siège social, pas le lieu où un projet a été écrit.

🧬 Familles ADN les plus présentes

aerial-robotics 5 motion-planning 5 graphrag 4 embodied-ai 4 llms 4 rag 4 3d-object-detection 4 instruction-tuning 4

💻 Langages

Python 70 C++ 9 Jupyter Notebook 8 Go 2 Rust 2 TypeScript 1

⭐ Les plus étoilés

Lightweight, open-source AI agent for your tools, chats, and workflows.

"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

🔥 1Panel is a modern, open-source VPS control panel — and the only one with native AI agent support. Run…

DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

"Vibe-Trading: Your Personal Trading Agent"

"RAG-Anything: All-in-One RAG Framework"

🔥 MaxKB is an open-source platform for building enterprise-grade agents. …

"AI-Trader: 100% Fully-Automated Agent-Native Trading"

"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"

"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"

Embodied-AI-Guide

[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide

"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"

"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"

"OpenSpace: The Quality-First Skill Hub for AI Agents" -- https://open-space.cloud/

awesome-agent-skills

Tutorials, Guides and Agent Skills Directories

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

stablediffusion-infinity

Outpainting with Stable Diffusion on an infinite canvas

End-to-end-Autonomous-Driving

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

A Robust and Efficient Trajectory Planner for Quadrotors

[KDD'2026] "VideoRAG: Chat with Your Videos"

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and…

Awesome-GraphRAG

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on…

Real-time image filter engine based on GPU

Convert images of LaTex math equations into LaTex code.

Neural-Networks-on-Silicon

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of…

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into…

[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"

awesome-AI-books

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for…

★ 1.8k · GitHub ↗

MetaTransformer

Meta-Transformer for Unified Multimodal Learning

★ 1.6k · GitHub ↗

Auto-Deep-Research

"Your Fully-Automated Personal AI Assistant"

★ 1.6k · GitHub ↗

World's first general purpose 3D object detection codebse.

★ 1.6k · GitHub ↗

SAM-Adapter-PyTorch

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

★ 1.5k · GitHub ↗

Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT…

★ 1.5k · GitHub ↗

"VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking"

★ 1.5k · GitHub ↗

An Efficient Framework for Fast UAV Exploration

★ 1.4k · GitHub ↗

Birds-eye-view-Perception

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

★ 1.4k · GitHub ↗

Awesome-LLM-based-Text2SQL

[TKDE2025] Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL | A curated list of…

★ 1.3k · GitHub ↗

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

★ 1.3k · GitHub ↗

Teach-Repeat-Replan

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

★ 1.2k · GitHub ↗

[RSS 2025] Learning to Act Anywhere with Task-centric Latent Actions

★ 1.1k · GitHub ↗

A Python-based lightweight robot simulator designed for navigation, control, and learning

★ 1.1k · GitHub ↗

[TRO 2025] NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning.

★ 1k · GitHub ↗

[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers

★ 915 · GitHub ↗

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

★ 889 · GitHub ↗

[ICLR2025] Kolmogorov-Arnold Transformer

★ 847 · GitHub ↗

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

★ 835 · GitHub ↗

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language…

★ 809 · GitHub ↗

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

★ 807 · GitHub ↗

Autoregressive-Models-in-Vision-Survey

[TMLR 2025🔥] A survey for the autoregressive models in vision.

★ 804 · GitHub ↗

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving

★ 800 · GitHub ↗

This repository contains the implementation of AutoSchemaKG, a novel framework for automatic knowledge graph…

★ 784 · GitHub ↗

Repository for Scale-recurrent Network for Deep Image Deblurring

★ 764 · GitHub ↗

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

★ 757 · GitHub ↗

[ICCV 2025] Official implementation of the paper “MagicDrive-V2: High-Resolution Long Video Generation for…

★ 716 · GitHub ↗

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

★ 716 · GitHub ↗

Awesome_Dynamic_SLAM

Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)

★ 706 · GitHub ↗

[ICCV 2023] OccNet: Scene as Occupancy

★ 691 · GitHub ↗

"AnyTool: Universal Tool-Use Layer for AI Agents"

★ 675 · GitHub ↗

La localisation provient du profil GitHub de chaque propriétaire. Environ la moitié la renseignent : cette carte montre ceux-là, pas l'ensemble.