harvard-edge/cs249r_book
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
About the project
Harvard CS249r curriculum on ML Systems: a four-volume textbook, interactive labs, TinyTorch for building an ML framework from scratch, an infrastructure simulator, and hardware kits for Arduino and Raspberry Pi deployment.
Useful for
- Work through ML Systems labs by changing parameters and observing trade-offs
- Build your own ML framework through the 20 TinyTorch modules
- Deploy an ML model to Arduino or Raspberry Pi using the hardware kits
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 1 star so far today, about 11 expected by the end of the day.
- Over the last two days the pace is 1.9× that of the previous week and a half.
- GitHub Trending Python today: #6, +31 stars.
- About 11 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 28,367
- Stars in a day
- 11
- Forks
- 3,587
- Issues and pull requests
- 2,059
- Watchers
- 217
- Language
- Python
- Latest release
- vol1-v0.7.2 · August 31, 2026
- Created
- September 6, 2023
- Last push
- September 20, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 20, 2026GitHub Trending Python today: #6, +31 stars
Similar projects
-
6.3
ruanyf/weekly
A weekly tech digest by Ruan Yifeng: articles, tools and resources, published every Friday. Also includes a section with programmer job postings.
-
5.6
yibie/awesome-jev
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions (choice, score, boolean with confidence).
-
5.6
mihail911/modern-software-dev-assignments
Assignments for Stanford's CS146S course "The Modern Software Developer", covering modern software development practices with Python 3.12, Conda and Poetry.
-
5.2
ERRRC/kaogongzhentizhengliu
An Obsidian vault of 22,375 notes reorganizing 2016–2026 Chinese civil service exam questions by topic, with deep annotations, links and local images.
-
5.0
ZuodaoTech/everyone-can-use-english
An English-learning project powered by AI: the Enjoy web app, a browser extension for YouTube and Netflix, and materials from the book "Everyone Can Use English".
-
5.0
cobanov/awesome-jev
A curated list of projects built with Jev, TypeSafe AI's System One model for fast typed probabilistic decisions (classification, routing, scoring, guardrails).