by genieincodebottle · MCP 服务器 · ★ 2.6k
Your go-to hub for end-to-end GenAI learning. ⭐ Star this repo to stay updated with the latest GenAI resources :) 📚 Table of Contents Documentation & Learning Resources Practical Use Cases & Projects 📖 Documentation & Learning Resources 🎯 Getting Started GenAI Roadmap - Your complete learning path for GenAI AI/ML Roadmap - Comprehensive AI/ML learning guide AI-ML Companion - Interactive AI/ML learning platform with 17 tracks, 250+ modules, visualizations, quizzes, and hands-on coding (ML fundamentals → LLMs → MLOps) Essential GenAI Terms - Key terminology...
| Stars | 2,643 |
| Forks | 641 |
| Language | Jupyter Notebook |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 63.9018812591971/100 |
| Last Updated | 2026-10-08 |
| Created | 2024-01-09 |
| Platforms | claude-code, gemini, mcp |
| Est. Tokens | ~17k |
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generative-ai is Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.. It is categorized as a MCP 服务器 with 2.6k GitHub stars.
generative-ai is primarily written in Jupyter Notebook. It covers topics such as agentic-ai, agentic-framework, claude.
You can find installation instructions and usage details in the generative-ai GitHub repository at github.com/genieincodebottle/generative-ai. The project has 2.6k stars and 641 forks, indicating an active community.
generative-ai is released under the MIT license, making it free to use and modify according to the license terms.