Awesome CoreML
A curated collection of open-source machine learning models compatible with Apple's Core ML framework.
What is Awesome CoreML?
Awesome Core ML Models is a community-driven repository that aggregates pre-trained machine learning models designed to work with Apple's Core ML standard. It serves as a central hub for developers looking to integrate machine learning capabilities into iOS, macOS, watchOS, and tvOS applications without needing to build models from scratch.
Apple platform developers (iOS, macOS, watchOS, tvOS) who want to add machine learning features like image classification, object detection, or sentiment analysis to their apps without training models from scratch.
Developers choose this repository because it provides a vetted, ready-to-use collection of Core ML models with strict quality standards, including conversion scripts and sample Xcode projects for each model, ensuring reproducibility and ease of integration.
Overview
Collection of models for Core ML
Use Cases
Best For
- Finding pre-trained Core ML models for object detection and image classification tasks in iOS apps.
Related Projects
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