harvard-edge/cs249r_book
Machine Learning Systems
Combines interactive textbook theory, a from-scratch ML framework implementation (TinyTorch), hardware deployment labs on Arduino/Raspberry Pi/Jetson, and MLSys·im—a modeling engine for simulating infrastructure constraints at scale. The curriculum integrates hands-on coding, real-world deployment trade-offs, and infrastructure reasoning to teach end-to-end intelligent systems engineering beyond isolated model development.
22,573 stars. Actively maintained with 898 commits in the last 30 days.
Stars
22,573
Forks
2,686
Language
JavaScript
License
—
Category
Last pushed
Mar 13, 2026
Commits (30d)
898
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/harvard-edge/cs249r_book"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics...
datawhalechina/pumpkin-book
南瓜书:《机器学习》(西瓜书)公式详解
openmlsys/openmlsys
《Machine Learning Systems: Design and Implementation》
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
HenryNdubuaku/maths-cs-ai-compendium
Become a cracked AI/ML Research Engineer