# gigwegbe/tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

Repository: https://github.com/gigwegbe/tinyml-papers-and-projects
Canonical: https://ross.abutalabs.com/products/tinyml-papers-and-projects
License: MIT
License Family: permissive
Topics: tinyml, embedded-systems, neural-architecture-search, wake-word, machine-learning, computer-vision
Last push: 2025-12-08T03:06:29+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 56, release rhythm 35, longevity 100
- inputs: {"age_days": 2078, "days_push": 268, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1031, forks 167 (observed 2026-08-28T04:03:18.133418+00:00)

## What it is
A curated awesome-list of papers, projects, articles, courses, and tools about TinyML (machine learning on microcontrollers and resource-constrained embedded devices). It organizes research from 2016 to 2025 alongside open-source projects and benchmarks.

## Use cases
- find papers on tinyml and embedded machine learning
- learn about model compression and quantization for microcontrollers
- discover open-source tinyml projects with source code
- research wake word detection on embedded devices
- find courses and books for learning edge AI
- benchmark tiny machine learning models on constrained hardware

## When to choose
- you are researching or learning TinyML and want a curated reading list
- you need references on pruning, quantization, or neural architecture search for edge devices
- you want a starting point of open-source embedded ML projects

## When to avoid
- you need a runnable library or framework rather than a reference list
- you need up-to-the-minute papers not covered by the curated list
- you are working on server or cloud-scale machine learning

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, embedded, computer-vision
- domain: machine-learning, embedded-systems, awesome-lists, tutorials
- platform: embedded, iot
- tags: tinyml, awesome-list, model-compression, quantization, edge-ai, wake-word, neural-architecture-search

## Member repositories
- gigwegbe/tinyml-papers-and-projects (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:18.133418+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:07:26.892662+00:00, confidence not recorded.
  - readme: https://github.com/gigwegbe/tinyml-papers-and-projects (fetched 2026-08-28T04:03:18.133418+00:00, sha 0b7fc5c31185)
- Data as of 2026-08-30T08:39:29.467469+00:00.