# Hugging Face Learn PDF eBooks A curated collection of **9 free machine learning courses** from [Hugging Face Learn](https://huggingface.co/learn), converted to beautifully formatted PDF eBooks for offline reading. [](https://opensource.org/licenses/MIT) [](https://huggingface.co) ## 📚 Courses Included | Course | PDF Size | Topics | |--------|----------|--------| | **Agents Course** | 6.5 MB | Building AI Agents, LLM-powered automation, tool use | | **Audio Course** | 2.4 MB | Audio Transformers, speech recognition, audio classification | | **Computer Vision Course** | 14.8 MB | Vision Transformers, image classification, object detection | | **Deep RL Course** | 7.0 MB | Reinforcement Learning, Q-learning, PPO, policy gradients | | **Diffusion Models Course** | 1.3 MB | Diffusion models, image generation, Stable Diffusion | | **LLM Course (Transformers)** | 7.7 MB | NLP fundamentals, Transformers architecture, fine-tuning | | **ML for 3D Course** | 1.2 MB | 3D deep learning, point clouds, NeRF, 3D generation | | **ML for Games Course** | 5.0 MB | Game AI, Unity ML-Agents, game development with ML | | **Smol Course** | 1.2 MB | Small Language Models, efficiency, edge deployment | **Total: 47 MB** | All content in English ## ✨ Features - 📖 **Professional eBook formatting** — Clean typography, proper margins, page numbers - 💻 **Syntax-highlighted code** — Python examples formatted for readability - 🖼️ **Preserved images** — All diagrams, figures, and screenshots included - 🔗 **Clickable links** — External references and resources accessible - 📱 **Optimized for screens** — Compressed for fast download while maintaining quality ## 🚀 Quick Start ### Download Individual Courses ```bash # Clone with all PDFs git clone https://github.com/artificialguybr/huggingface-learn-pdf-ebooks.git cd huggingface-learn-pdf-ebooks # Or download specific course curl -O https://raw.githubusercontent.com/artificialguybr/huggingface-learn-pdf-ebooks/main/agents-course.pdf ``` ### View Online All courses are also available at [Hugging Face Learn](https://huggingface.co/learn) in interactive web format. ## 📖 Recommended Learning Path ### Beginner Track 1. **LLM Course** — Start with NLP fundamentals and Transformers 2. **Smol Course** — Learn about efficient small models ### Intermediate Track 3. **Audio Course** or **Computer Vision Course** — Pick your modality 4. **Agents Course** — Build AI agents with LLMs ### Advanced Track 5. **Deep RL Course** — Master reinforcement learning 6. **Diffusion Models Course** — Understand generative AI 7. **ML for 3D Course** — Explore 3D deep learning 8. **ML for Games Course** — Apply ML to game development ## 🛠️ Technical Details **Conversion Process:** - Source: [Hugging Face GitHub repositories](https://github.com/huggingface) - Format: MDX → HTML → PDF - Tooling: Playwright + Chromium for accurate rendering - Compression: Ghostscript optimization (78% size reduction) **PDF Specifications:** - Format: A4, 2cm margins - Font: System fonts (Segoe UI, Roboto) - Code: Monospace with syntax highlighting - Images: Compressed while preserving readability ## ⚖️ License The **PDF conversions** in this repository are provided under MIT License for convenience of offline study. **Original course content** is © Hugging Face, Inc. and licensed under their respective terms. All credit for the educational material goes to the amazing Hugging Face team and contributors. > This is an unofficial community project. Not affiliated with or endorsed by Hugging Face. ## 🤝 Contributing Found an issue with a PDF? Want to add a new course? 1. Open an [issue](https://github.com/artificialguybr/huggingface-learn-pdf-ebooks/issues) 2. Submit a [pull request](https://github.com/artificialguybr/huggingface-learn-pdf-ebooks/pulls) ## ⭐ Star History If you find this useful, please star the repo! It helps others discover these resources. [](https://star-history.com/#artificialguybr/huggingface-learn-pdf-ebooks&Date) ## 🔗 Related Resources - [Hugging Face Learn](https://huggingface.co/learn) — Official interactive courses - [Hugging Face Hub](https://huggingface.co/models) — 500K+ ML models - [Transformers Documentation](https://huggingface.co/docs/transformers) — Library docs - [Hugging Face Blog](https://huggingface.co/blog) — Research articles & tutorials ---
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