Everything

A CS Unplugged unit with several hands-on, screen-free lessons about binary numbers.

A CS Unplugged unit with several hands-on, screen-free lessons about error detection and correction.

A classroom activity linking the 'Kidbots' unit with geometry (ages 5-7). For an adult to run with children.

A classroom activity linking the 'Sorting networks' unit with biology (ages 5-7). For an adult to run with children.

A CS Unplugged unit with several hands-on, screen-free lessons about image representation.

A CS Unplugged unit with several hands-on, screen-free lessons about kidbots.

A classroom activity linking the 'Kidbots' unit with numeracy (ages 5-7). For an adult to run with children.

A classroom activity linking the 'Kidbots' unit with geometry (ages 5-7). For an adult to run with children.

A classroom activity linking the 'Sorting networks' unit with speaking (ages 5-7). For an adult to run with children.

A CS Unplugged unit with several hands-on, screen-free lessons about searching algorithms.

A CS Unplugged unit with several hands-on, screen-free lessons about sorting networks.

A classroom activity linking the 'Kidbots' unit with speaking (ages 5-7). For an adult to run with children.

A classroom activity linking the 'Binary numbers' unit with art (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Binary numbers' unit with writing (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Binary numbers' unit with art (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Binary numbers' unit with art (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Binary numbers' unit with music (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Searching algorithms' unit with drama, art (ages 8-10). For an adult to run with children.

Programming challenges (Scratch, Python or blocks) to go with the 'How binary digits work' lesson, from the 'Binary numbers' unit. Best done with a grown-up.

A classroom activity linking the 'Error detection and correction' unit with writing (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Searching algorithms' unit with music (ages 8-10). For an adult to run with children.

Programming challenges (Scratch, Python or blocks) to go with the 'Parity magic' lesson, from the 'Error detection and correction' unit. Best done with a grown-up.

Programming challenges (Scratch, Python or blocks) to go with the 'Product code check digits' lesson, from the 'Error detection and correction' unit. Best done with a grown-up.

A classroom activity linking the 'Error detection and correction' unit with numeracy (ages 8-10). For an adult to run with children.

Programming challenges (Scratch, Python or blocks) to go with the 'Sending a rocket to Mars' lesson, from the 'Kidbots' unit. Best done with a grown-up.

Programming challenges (Scratch, Python or blocks) to go with the 'The Modulo operator Unplugged' lesson, from the 'Kidbots' unit. Best done with a grown-up.

A classroom activity linking the 'Error detection and correction' unit with writing (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Searching algorithms' unit with writing (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Binary numbers' unit with writing (ages 8-10). For an adult to run with children.

A classroom activity linking the 'Error detection and correction' unit with word study (ages 8-10). For an adult to run with children.

A free resource picked by the open-source community. Open it to see what's inside.

Learn to develop your own search engine.

Supplements for specific science, technology, engineering, arts, and math (STEAM) courses across all grade levels.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

A CS Unplugged unit with several hands-on, screen-free lessons about data structures for searching.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

Build awesome chatbots and digital assistants.

A free resource picked by the open-source community. Open it to see what's inside.

Data analysis and machine learning.

A free resource picked by the open-source community. Open it to see what's inside.

Automatically generates a wide range of unique content in text, image, and audio format.

A free resource picked by the open-source community. Open it to see what's inside.

Impossible sounding projects that exist.

Learning, implementing, and applying Machine Learning using Ruby.

Guides for naming things in computer science.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

A free resource picked by the open-source community. Open it to see what's inside.

Models for Apple's machine learning framework.

Neural networks.

A free resource picked by the open-source community. Open it to see what's inside.

Evidence-based research on software systems.

Open source distributed machine learning platform written in Java with APIs in R, Python, and Scala.

Automatic differentiation and XLA compilation brought together for high-performance machine learning research.

High-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science.

A free resource picked by the open-source community. Open it to see what's inside.

Generation of text used in data-to-text, conversational agents, and narrative generation applications.

The most cited deep learning papers.

Computing that utilizes quantum mechanics and qubits on quantum computers.

The science of asking and answering in natural language with a machine.

From experiment to production-level machine learning.

A free resource picked by the open-source community. Open it to see what's inside.

Library for machine intelligence.

Framework that optimizes TensorFlow models for on-device machine learning.

WebGL-accelerated machine learning JavaScript library for training and deploying models.

The interplay of computer science and pure mathematics, distinguished by its emphasis on mathematical rigour and technique.

Providing insight, explanations, and interpretability to machine learning methods.