# likedan/Awesome-CoreML-Models

Largest list of models for Core ML (for iOS 11+)

Repository: https://github.com/likedan/Awesome-CoreML-Models
Canonical: https://ross.abutalabs.com/products/awesome-coreml-models
Language: Python
License: MIT
License Family: permissive
Topics: coreml, coreml-model, apple, machine-learning, curated-list, coreml-framework, coreml-models, coremltools, awesome-list, models, model, download, awesome, core-ml, ml, caffe, caffemodel, tensorflow-models, ios, ios11
Last push: 2025-06-17T05:43:09+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 27, release rhythm 35, longevity 100
- inputs: {"age_days": 3298, "days_push": 442, "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 7044, forks 509 (observed 2026-08-28T04:09:55.384543+00:00)

## What it is
A curated awesome-list of machine learning models converted to Apple's Core ML format for iOS, macOS, tvOS, and watchOS. It aggregates downloadable .mlmodel files with demos and references across image, text, and other ML tasks.

## Use cases
- find pre-trained Core ML models for an iOS app
- download image classification models in mlmodel format
- add on-device machine learning to a Swift app
- find Core ML demos for pose estimation or text detection
- browse converted TensorFlow and Caffe models for Apple platforms

## When to choose
- building iOS/macOS apps with on-device ML using Core ML
- looking for ready-to-download .mlmodel files with demo code
- exploring what ML tasks are feasible on Apple devices

## When to avoid
- training models from scratch
- targeting Android or non-Apple platforms
- needing a serving/inference backend rather than on-device models

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, computer-vision, nlp, developer-tools
- domain: machine-learning, apple-ecosystem, mobile-development, awesome-lists
- platform: cross-platform
- tags: coreml, curated-list, ml-models, ios11, model-zoo, ios, macos

## Member repositories
- likedan/Awesome-CoreML-Models (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.384543+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 2026-08-29T17:40:32.549122+00:00, confidence not recorded.
  - readme: https://github.com/likedan/Awesome-CoreML-Models (fetched 2026-08-28T04:09:55.384543+00:00, sha 2f560f453787)
- Data as of 2026-08-30T08:39:29.467469+00:00.