Production-grade engineering skills for AI coding agents.

Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Repo for "Adaptation of Agentic AI"

The 2024 edition of The Nature of Code with p5.js. Includes Notion workflow and build system.

🎒 Token-Oriented Object Notation (TOON) – compact, human-readable serialization of JSON data for LLM prompts. TypeScript SDK, CLI, benchmarks.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Reverse Engineering Furby Connect's Bluetooth Protocol and Update Format

Learning Deep Representations of Data Distributions

Implement a reasoning LLM in PyTorch from scratch, step by step

The best workflows and configurations I've developed, having heavily used Claude Code since the day of it's release. Workflows are based off applied learnings from our AI-native startup.

A bibliography and survey of the papers surrounding o1

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

DSPy: The framework for programming—not prompting—language models

Listing of papers about machine learning for proteins.

This repo contains the Hugging Face Deep Reinforcement Learning Course.

A playbook for systematically maximizing the performance of deep learning models.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).

Model-based design and verification for robotics.

The course text for MIT 6.832 (and 6.832x on edX)

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Genetic Programming in Python, with a scikit-learn inspired API

Mirror of stephen/monokai.terminal on rasterhub.com. 🌈 Default theme for Sublime Text for OS X Terminal and iTerm

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

TensorFlow - A curated list of dedicated resources http://tensorflow.org