A curated list of machine learning frameworks, libraries, and software maintained in a GitHub repository.
Awesome Core ML Models
Browse a list of machine learning models for Apple Core ML, collected in this repository.
About Awesome Core ML Models
Awesome Core ML Models is a GitHub repository that collects machine learning models in Core ML format for Apple platforms. It is intended for developers working with iOS 11 and later, as well as macOS, tvOS, and watchOS.
You can browse models grouped by task, such as image classification, text processing, image transformation, speech processing, and others. Examples include MobileNet, YOLO, and ResNet50 for images, sentiment analysis and spam detection for text, and exercise or chord prediction for miscellaneous uses. Each entry links to download, demo, and reference materials. The repository also mentions visualization tools such as Netron.
It suits iOS and macOS developers who want to experiment with or integrate existing Core ML models into apps. Contributors who have converted a model can submit it via pull request.
Key features
- List of Core ML models for iOS, macOS, tvOS, watchOS
- Models grouped by image, text, speech and miscellaneous tasks
- Download, demo and reference links for listed models
- Includes visualization tools such as Netron
- Open source repository accepting pull requests for converted models
Best for: Developers building Apple platform apps who want to use existing Core ML models.
Good for
- Open source collection on GitHub
- Covers multiple model types and tasks
- Provides download, demo and reference links
Watch out for
- Only relevant for Apple platform development with Core ML
Awesome Core ML Models at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- iOS, macOS
- Open source
- Yes · Source code
- Language
- English
- Good for
- Developers
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Awesome Core ML Models FAQ
What is Awesome Core ML Models?
It is a GitHub repository that collects machine learning models in Core ML format for use on Apple platforms.
What kinds of models are listed?
Models cover image analysis, image transformation, text processing, speech processing, and miscellaneous tasks such as exercise and chord prediction.
How can I add a model?
Contributors who have converted a Core ML model can submit a pull request on GitHub.
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Tell us and an editor will check it.
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