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DataTalksClub / mlops-zoomcamp

Free MLOps course from DataTalks.Club. Register here πŸ‘‡πŸΌ to get notified about the next cohort

β–² ~35/7d β˜… 15k Jupyter Notebook 8d ago
DataTalksClub / llm-zoomcamp

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here πŸ‘‡πŸΌ

β–² ~28/7d β˜… 7.5k Jupyter Notebook 8d ago
calmrocks / ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set β€” model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

β–² ~7/7d β˜… 708 Jupyter Notebook 15d ago
TeamAIQ / Colab-notebooks

Collection of Free Google Colab and Kaggle notebooks for AI tools.

β–² ~7/7d β˜… 569 Jupyter Notebook 5d ago
HugoBlox / hugo-theme-academic-cv

πŸŽ“ Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor β€” free to host forever. 学术主鑡,AI η”ŸζˆοΌŒMarkdown ζ‹₯ζœ‰ πŸ‘‡

β–² ~2/7d β˜… 5.1k Jupyter Notebook 6d ago
zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

β–² ~2/7d β˜… 318 Jupyter Notebook 2mo ago
huggingface / computer-vision-course

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

β–² ~0/7d β˜… 897 Jupyter Notebook 17d ago
cfgranda / ps4ds

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises