john-rocky/CoreML-Models resource

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1851 stars · 171 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated model zoo of PyTorch models converted to ready-to-use CoreML .mlpackage files for iOS and macOS, each with a conversion script and SwiftUI sample app. It covers image classification, object detection, segmentation, super-resolution, style transfer, and more for on-device inference.

Use cases

• run YOLO object detection on iPhone with CoreML
• convert PyTorch models to CoreML mlpackage
• on-device image segmentation for iOS app
• super resolution upscaler running on Apple Neural Engine
• find pre-converted CoreML models for iOS
• SwiftUI sample app for CoreML vision models
• background removal model for iOS

When to choose

• you need ready-to-run CoreML models for iOS/macOS apps
• you want conversion scripts plus sample code for on-device ML
• you target Apple Neural Engine deployment of vision models

When to avoid

• you target Android or non-Apple platforms (use TFLite/ONNX instead)
• you need server-side or cloud inference
• you require a permissively licensed dependency — the repo has no explicit license

Facets

dataset · maturity active

machine-learning computer-vision image-processing deep-learning machine-learning computer-vision image-processing mobile-development apple-ecosystem cross-platform coreml model-zoo mlpackage on-device-ai yolo segmentation super-resolution neural-engine swiftui model-conversion ios macos swift

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For agents

markdown · JSON · MCP: product_card(name="john-rocky/CoreML-Models")