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.

coremltools
75
Verified
awesome-CoreML-models
43
Emerging
Maintenance 13/25
Adoption 15/25
Maturity 25/25
Community 22/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 17/25
Stars: 5,182
Forks: 762
Downloads:
Commits (30d): 4
Language: Python
License: BSD-3-Clause
Stars: 586
Forks: 61
Downloads:
Commits (30d): 0
Language:
License: MIT
No risk flags
Stale 6m No Package No Dependents

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.

mobile-app-development machine-learning-deployment iOS-development on-device-AI model-conversion

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.

iOS development mobile app features image recognition natural language processing facial analysis

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