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tucan9389/awesome-ml-demos-with-ios resource

The challenge projects for Inferencing machine learning models on iOS observed · 2026-08-28

github.com/tucan9389/awesome-ml-demos-with-ios · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3025
  • days_rel: n/a
  • days_push: 1991
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1291 stars · 139 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of demo and challenge projects for running machine learning model inference on iOS using Core ML, ML Kit, and TensorFlow Lite. It includes baseline projects for image classification, object detection, segmentation, and performance measurement tools.

Use cases

  • learn how to run machine learning models on iOS
  • find Core ML demo projects for image classification
  • convert TensorFlow models for on-device iOS inference
  • benchmark ML model performance on iPhone
  • examples of object detection with ML Kit on iOS
  • learn semantic segmentation on mobile devices

When to choose

  • you are an iOS developer learning on-device ML inference with Core ML or TensorFlow Lite
  • you want reference demo projects for image classification, detection, or segmentation on iOS
  • you need example code for model conversion and pre/postprocessing on mobile

When to avoid

  • you need production-ready ML libraries rather than educational demos
  • you target Android or cross-platform ML deployment
  • you need actively updated examples - the repo's latest release dates to 2021

Facets

learning-resource · maturity maintenance

machine-learning image-processing computer-vision machine-learning mobile-development tutorials coreml tensorflow-lite ml-kit on-device-inference awesome-list demo-projects ios swift mobile

1 source

Member repositories

RepositoryRoleHealth v2
tucan9389/awesome-ml-demos-with-iosmain32

For agents

markdown · JSON · MCP: product_card(name="tucan9389/awesome-ml-demos-with-ios")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem