Toy implementations of the 30 foundational papers recommended by Ilya Sutskever

Sutskever 30 - Complete Implementation Suite

Comprehensive toy implementations of the 30 foundational papers recommended by Ilya Sutskever

Overview

This repository contains detailed, educational implementations of the papers from Ilya Sutskever's famous reading list - the collection he told John Carmack would teach you "90% of what matters" in deep learning.

Progress: 30/30 papers (100%) - COMPLETE! 🎉

Each implementation:

✅ Uses only NumPy (no deep learning frameworks) for educational clarity

✅ Includes synthetic/bootstrapped data for immediate execution

✅ Provides extensive visualizations and explanations

✅ Demonstrates core concepts from each paper

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