CoreML-Models
A Core ML model zoo for iOS and macOS that packages PyTorch models converted into ready-to-use .mlpackage files, each with a conversion script and a SwiftUI sample app.
CoreML-Models is a catalog of Core ML models and sample apps for iOS and macOS. It packages PyTorch models converted into .mlpackage files across categories including image classification, object detection, multi-object tracking, segmentation, video matting, super resolution, low-light enhancement, image restoration, image generation, image-to-image translation, inpainting, monocular depth estimation, and Stable Diffusion text-to-image models.
Each model links to a download and, where available, a sample project showing how to use it. A related project, Core AI, targets Apple's newer on-device model framework on iOS and macOS 27 using a separate model bundle format, and this repository's README points coding agents to a task index for that sibling project.
It is written in Swift and maintained for on-device AI on iOS and Android.