coremltools and awesome-CoreML-models
The collection of Core ML models complements the Core ML tools by providing a curated set of assets that can be converted, edited, and validated using the toolkit.
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
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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