by Sumanth077 · MCP 服务器 · ★ 2.4k
🚀 Hands-On AI Engineering A curated collection of practical, production-ready AI projects across multiple modalities, including language models, multimodal models, OCR systems, RAG pipelines, and AI agents. Each project is designed to help you learn, experiment, and build real-world AI applications. 📋 Table of Contents 🎯 Why This Repository? 🗂️ Project Categories 🚀 Getting Started 🤝 Contributing 📜 License 🎯 Why This Repository? Learn by Doing: Each project includes complete code, setup instructions, and documentation Production-Ready: Projects follow best practices and are ready to be...
| Stars | 2,360 |
| Forks | 648 |
| Language | Python |
| Category | MCP 服务器 |
| Quality Score | 37.15/100 |
| Open Issues | 21 |
| Last Updated | 2026-06-17 |
| Created | 2025-02-24 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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Hands-On-AI-Engineering is A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.. It is categorized as a MCP 服务器 with 2.4k GitHub stars.
Hands-On-AI-Engineering is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the Hands-On-AI-Engineering GitHub repository at github.com/Sumanth077/Hands-On-AI-Engineering. The project has 2.4k stars and 648 forks, indicating an active community.