coremltools and Awesome-CoreML-Models
These are complements: coremltools converts and prepares models for Core ML deployment, while Awesome-CoreML-Models is a curated repository of pre-converted models ready to use with those tools.
About coremltools
apple/coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
This tool helps mobile app developers take machine learning models trained in popular frameworks like TensorFlow, PyTorch, or scikit-learn and prepare them for use within iOS, iPadOS, macOS, tvOS, and watchOS applications. It converts these models into Apple's Core ML format, which enables on-device predictions and fine-tuning. The primary users are app developers integrating AI/ML features into their Apple ecosystem applications.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work