# margaretmz/awesome-tensorflow-lite

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

Repository: https://github.com/margaretmz/awesome-tensorflow-lite
Canonical: https://ross.abutalabs.com/products/awesome-tensorflow-lite
License: Apache-2.0
License Family: permissive
Topics: awesome-list, tflite, tensorflow-lite, tflite-models, tensorflow, tensorflow-models, tfhub, tensorflow-keras, keras-tutorials, sample-app, model-zoo, mediapipe, mlkit, mobile, android, ios, flutter, deep-learning, computer-vision, awesome
Last push: 2022-03-01T02:42:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2408, "days_push": 1646, "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 1390, forks 190 (observed 2026-08-28T04:04:35.593049+00:00)

## What it is
A curated awesome list of TensorFlow Lite models with sample apps, tools, and learning resources for mobile and edge machine learning. It catalogs computer vision, text, and speech models alongside tutorials, blog posts, and books.

## Use cases
- find pretrained tflite models for android
- learn how to convert keras models to tensorflow lite
- find sample apps for on-device machine learning
- discover tutorials for deploying ml models on mobile
- find tensorflow lite models for image classification and detection
- learn tensorflow lite for ios and flutter

## When to choose
- you want a curated directory of tflite models, samples, and learning material
- you are starting with on-device ML on Android, iOS, or Flutter
- you need pretrained models from a model zoo for mobile deployment

## When to avoid
- you need actively maintained code rather than a link collection
- you want a library or framework to include in your build
- you need resources for server-side TensorFlow rather than mobile/edge deployment

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, documentation
- domain: machine-learning, deep-learning, computer-vision, mobile-development, awesome-lists, tutorials
- platform: cross-platform, python
- tags: awesome-list, tensorflow-lite, tflite, model-zoo, on-device-ml, keras, mediapipe, flutter, android, ios, mobile

## Member repositories
- margaretmz/awesome-tensorflow-lite (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:35.593049+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 2026-08-30T04:39:39.759886+00:00, confidence not recorded.
  - readme: https://github.com/margaretmz/awesome-tensorflow-lite (fetched 2026-08-28T04:04:35.593049+00:00, sha 2eeaa00b9dd0)
- Data as of 2026-08-30T08:39:29.467469+00:00.