🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.

Build dashboards in Jupyter Notebook with numeric and chart boxes

Generative artwork that looks a bit like trees

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Awesome R resources, packages and FAQs

Machine Learning University: Accelerated Tabular Data Class

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

A minimal Stable Fluids inspired fluid solver with Python and NumPy.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Python implementation of Benford's Law tests.

Retro Games in Gym

Make huge neural nets fit in memory

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Slides and code from our TensorFlow workshop.