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.

Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 17/25
Stars: 6,968
Forks: 507
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 586
Forks: 61
Downloads:
Commits (30d): 0
Language:
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Awesome-CoreML-Models

likedan/Awesome-CoreML-Models

Largest list of models for Core ML (for iOS 11+)

Organizes pre-converted models across diverse tasks—image classification, object detection, pose estimation, text recognition, and image transformation—with direct download links and reference implementations. Curated specifically for Apple's ecosystem (iOS, macOS, tvOS, watchOS), eliminating conversion overhead for developers integrating ML into native apps. Includes supplementary resources like model visualization tools and demo repositories to accelerate experimentation.

About awesome-CoreML-models

SwiftBrain/awesome-CoreML-models

Collection of models for Core ML

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