Awesome-CoreML-Models and awesome-CoreML-models
These tools are competitors because both are collections of Core ML models, and a user would likely choose one as their primary resource for finding models.
About Awesome-CoreML-Models
likedan/Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
This project offers a comprehensive collection of pre-trained machine learning models that can be directly integrated into Apple applications (iOS, macOS, tvOS, watchOS). It allows app developers to easily add features like image recognition, text detection, and pose estimation. Developers can take these models and build intelligent features into their apps, from identifying objects in photos to recognizing emotions from faces.
About awesome-CoreML-models
SwiftBrain/awesome-CoreML-models
Collection of models for Core ML
This collection provides ready-to-use machine learning models that run directly on Apple devices. It helps iOS developers integrate advanced capabilities like object detection, image classification (e.g., food, flowers), sentiment analysis, and facial attribute recognition (age, gender, emotion) into their apps. You get a Core ML model file and an example Xcode project, which lets you see the model in action and quickly incorporate it into your own application.
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