Resources & Learning

Free hands-on courses using only open models.

Definitive database linking papers to open code and datasets.

Daily-updated feed of the latest arXiv papers with open weights.

Real-time ranking of open models.

Largest open AI forum.

Comprehensive curriculum covering machine learning, deep learning, NLP, computer vision, and agents by implementing them from scratch. MIT licensed.

Reproducible Ubuntu, Ollama, llama.cpp, Vulkan/RADV, and ROCm setup and benchmark evidence for Ryzen AI MAX+ 395 local-AI systems. MIT licensed.

Open-source textbook and code repository covering AI agent design principles, architectures, and engineering practice. Apache 2.0 licensed.

Comprehensive learning path and template guide for Claude Code, covering setup, hooks, custom skills, and MCP server integrations. MIT licensed.

An open, unconventional textbook covering mathematics, computer science, and artificial intelligence from the ground up. Apache 2.0 licensed.

Go-to subreddit for local/open-source LLM topics.

12-week, 26-lesson, 52-quiz classic machine learning course for beginners. Comprehensive curriculum covering regression, classification, clustering, and NLP with practical projects.

12-week, 24-lesson curriculum on Artificial Intelligence. Covers symbolic AI, neural networks, computer vision, NLP, and reinforcement learning with hands-on labs.

21 lessons covering generative AI fundamentals, prompt engineering, RAG applications, fine-tuning, and LLM app deployment with practical exercises.

Free courses on agents and RAG.

10-week, 20-lesson curriculum on data science fundamentals. Covers data preparation, visualization, modeling, and deployment with practical projects.

Curated list of PyTorch tutorials, papers, projects, and communities for deep learning researchers.

Free deep reinforcement learning course with hands-on exercises and trained agent publishing to the Hugging Face Hub.

YSDA course in Natural Language Processing with 2025 materials covering text classification, language models, transformers, and modern NLP techniques. MIT licensed.

Practical hands-on course about Large Language Models and their applications. Covers Chatbots, Code Generation, OpenAI API, Hugging Face, Vector databases, LangChain, Fine Tuning, PEFT, LoRA, QLoRA. MIT licensed.

Comprehensive tutorials and demos using the Hugging Face Transformers library for NLP, vision, and multimodal tasks.

93+ production-ready projects with in-depth tutorials on LLMs, RAG, and real-world AI agent applications. Comprehensive resources for all skill levels from beginner to advanced. MIT licensed.

6-week comprehensive course on Agentic AI covering autonomous agents, multi-agent systems, and practical agent development. MIT licensed.

MIT-licensed multi-agent platform for interactive learning and course generation.