# harvard-edge/cs249r_book

> 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.

- Magnitude: 1.4 out of 10 — Cooling
- Stars: 28,923 total · +2 stars measured 2026-10-10, 00:37–10:55 UTC, ≈ 6 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · Created: 2023-09-06 · Last push: 2026-10-10
- GitHub: https://github.com/harvard-edge/cs249r_book · Homepage: https://mlsysbook.ai · Page: https://gitnova.dev/en/r/harvard-edge/cs249r_book

## 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

## Why it’s here

- Star-counter measurements on 2026-10-10 (UTC), 00:37–10:55: 28921 → 28923 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +6 stars, using observed gains and the previous day.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 3,640
- Issues and pull requests: 1,994
- Watchers: 220
- Average over the last week: 22 per day
- Usual pace: 32 per day
- Latest release: tinytorch-v0.2.0 (2026-10-01)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-06 … 2026-11-04: 27, 41, 45, 9, 1, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

09-27 3.1, 09-28 3.7, 09-29 3.2, 09-30 2.4, 10-01 2.3, 10-02 1.9, 10-03 1.5, 10-04 1.2, 10-05 1.6, 10-06 1.6, 10-07 2.1, 10-08 2.8, 10-09 2.6, 10-10 1.4

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-10 10:59 UTC, updated every 30 minutes.