Machine Learning Systems • Development Environment
Two-volume textbook covering foundations through production-scale distributed systems
Open Book Preview →33 browser-based Marimo labs — predict, discover, and explain ML systems concepts
Open Labs Preview →Build an ML framework from scratch — 20 progressive modules from tensors to transformers
Open TinyTorch Preview →Deploy ML on real edge devices — Arduino, Raspberry Pi, Seeed XIAO, and Grove Vision AI
Open Kits Preview →Physics-grounded simulator for modeling ML systems from microcontrollers to exaflop fleets
Open MLSys·IM Preview →35 Beamer decks with speaker notes, active learning moments, and 266 SVG diagrams
Open Slides Preview →Course-in-a-box — syllabi, pedagogy guide, assessment rubrics, TA guide, and course map
Open Instructor Hub →5,700+ ML systems interview questions — study plans, gauntlet mode, and roofline simulator
Open StaffML Preview →