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Tongyi Deep Research, the Leading Open-source Deep Research Agent
Agentic LaTeX Writer - Local-first editor for AI-assisted academic writing
PaperSpine is a motivation-driven skill for learning from strong academic papers, building a paper’s central argument, and rewriting manuscripts through evidence-aware blueprints, revision matrices...
Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows
A skill family for shaping the research storyline of CCF-A papers.
毕业设计的代码部分,实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Me...
🎾 AI-powered tennis stroke detection using CatBoost. Automatically identify hit points from ball trajectory data with customizable recall-focused evaluation.
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Python tool for converting files and office documents to Markdown.
Official implementation of TrackNetV5
PyTorch Implementation of "AdaSpot: Spend Resolution Where It Matters for Precise Event Spotting"
Code for Spotting Temporally Precise, Fine-Grained Events in Video
A Tennis dataset and models for event detection & commentary generation
PyTorch Implementation of "T-DEED: Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in Sports Videos", 10th International Workshop on Computer Vision in Sports (CVsport...
TrackNet for badminton tracking using tensorflow2
TrackNetV3 : Beyond TrackNetV2 ,and "First" TrackNet using Attention
Open-source Monocular Python HawkEye for Tennis
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a querya...
Learn agent fundamentals from scratch in one day (about 9 hours)! I wrote this tutorial to show that agents are actually very simple. 零基础一天 (9小时)学完agent!写这个教程就是想告诉大家,Agent其实非常简单!
这是一个机器学习分类项目,基于甲状腺癌临床结构化数据,完成"是否复发(Recurred)"的二分类预测。项目覆盖从数据预处理、特征工程、多模型训练与评估、超参数优化,到模型持久化与独立推理脚本部署的完整流程,适合初学者学习复现。This is a teaching-oriented machine learning classification project for thyroid can...
Agentic RAG Multi-Agent Exam Tutor — LangGraph multi-agent system for Marine Structures | DeepSeek V4 Pro | BGE-M3 | ChromaDB | Self-RAG | FastAPI
🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
从零学习大模型 & AI Agent:GitHub 高质量开源项目完全指南 | 20+精选项目 | 按难度分级 | 附学习路径
GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a git repository (Github, Gitlab, Azure, Local) or...