# alexsosn/iOS_ML

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

Repository: https://github.com/alexsosn/iOS_ML
Canonical: https://ross.abutalabs.com/products/ios_ml
Homepage: https://alexsosn.github.io/ml/2015/11/05/iOS-ML.html
License Family: other
Topics: machine-learning, deep-learning, natural-language-processing, computer-vision, swift, neural-network, artificial-intelligence, speech-recognition, awesome-list, gpgpu
Last push: 2018-07-30T19:55:52+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4033, "days_push": 2956, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1427, forks 149 (observed 2026-08-28T04:04:41.860483+00:00)

## What it is
A curated awesome-list of machine learning, deep learning, NLP, computer vision, and speech resources for iOS developers, focusing on libraries usable from Swift, Objective-C, C/C++. It also covers Core ML converters, web APIs, blogs, books, and learning materials.

## Use cases
- find machine learning libraries for an iOS app
- discover Core ML model converters for TensorFlow or Keras
- locate NLP or speech recognition tools that run on iPhone
- find computer vision libraries compatible with Swift or Objective-C
- learn on-device ML for iOS development
- find pre-trained neural networks for Core ML

## When to choose
- you are an iOS developer looking for ML/AI libraries that work on Apple platforms
- you need a starting point to survey the iOS ML ecosystem
- you want links to Core ML converters, blogs, and learning resources

## When to avoid
- you need up-to-date resources - the list was last updated in January 2018
- you are targeting Android or cross-platform ML deployment
- you need actively maintained tooling rather than a reference list

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, nlp, computer-vision, speech-recognition, ocr, gpu-computing
- domain: machine-learning, artificial-intelligence, computer-vision, mobile-development, awesome-lists
- platform: -
- tags: awesome-list, core-ml, on-device-ml, curated-list, objective-c, neural-networks, natural-language-processing, ios, mobile, swift

## Member repositories
- alexsosn/iOS_ML (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.860483+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 2026-08-30T04:37:21.224493+00:00, confidence not recorded.
  - readme: https://github.com/alexsosn/iOS_ML (fetched 2026-08-28T04:04:41.860483+00:00, sha 97870211cad2)
  - homepage: https://alexsosn.github.io/ml/2015/11/05/iOS-ML.html (fetched 2026-08-29T11:49:20.270371+00:00, sha dee449b57712)
- Data as of 2026-08-30T08:39:29.467469+00:00.