🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Jupyter Interactive Notebook

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Ready-to-run Docker images containing Jupyter applications

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Automate code & data workflows with interactive Elixir notebooks

🎈 Simple reactive notebooks for Julia

Create delightful software with Jupyter Notebooks

The fastest way to turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.

Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.