Open Source AI Resources

A running list of free, high-quality resources outside Neural Mastery — for deeper practice, alternative explanations, or interview drilling. This page gets updated as new ones are found; it's a tab, not a one-time list.

Practice & Problem Sets

• deep-ml.com — 1,200+ hands-on problems: ML/DL from-scratch implementation, linear algebra, competitions, and guided learning paths.

Interview Prep

• amitshekhariitbhu/ai-engineering-interview-questions (Apache-2.0) — large Q&A bank covering LLM fundamentals, RAG, agents, fine-tuning, evaluation, and scenario-based "your system is failing like X" questions.
• alirezadir/AIMLInterviews (MIT) — structured chapters: DSA, ML coding, ML fundamentals, ML/GenAI system design, agentic AI systems, behavioral.
• chiphuyen/ml-interviews-book (© Chip Huyen) — free web book covering the interview process plus 200+ classical ML knowledge questions.

Math Intuition

• 3Blue1Brown — Essence of Linear Algebra and Essence of Calculus — visual, intuition-first explanations.

System Design

• Chip Huyen — Machine Learning Systems Design: 30 open-ended questions — companion to her Stanford course CS 329S.

Agentic AI

• alirezadir/Agentic-AI-Systems (MIT) — dedicated deep dive on agent architectures.

Know a resource that should be here? This list grows over time — nothing here is meant to replace Neural Mastery's own content, only to point at good external practice once you've learned the concept here.