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

• UpdatedJun 17, 2025
• Python

📚 Curated list of articles, tutorials and repos that may help you dig a little bit deeper into iOS [and Apple Platforms].

• UpdatedMay 23, 2024
• Swift

Converted CoreML Model Zoo.

• UpdatedJun 16, 2024

Collection of models for Core ML

• UpdatedDec 7, 2019

Discover, download, compile & launch different image processing & style transfer CoreML models on iOS.

• UpdatedMar 2, 2019
• C++

A CoreML model which classifies images of food

• UpdatedFeb 15, 2018
• Swift

A simple demo for Core ML

• UpdatedFeb 22, 2020
• Swift

🦁 A central GitHub repository for sharing Core ML models

• UpdatedAug 20, 2018

Predict handwritten digits with CoreML

• UpdatedFeb 15, 2018
• Python

Real-time Mobile Car Pose Estimation with CoreML

• UpdatedJan 27, 2020
• C++

A camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.

• UpdatedJun 12, 2017
• Swift

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

• UpdatedJul 20, 2017
• Jupyter Notebook

Custom implementation of Apple Intelligence features

• UpdatedNov 12, 2024
• Swift

Tool for visual profiling Core ML models, compatible with both package and compiled versions, including reasons for unsupported operations on the Neural Engine

• UpdatedJun 18, 2024
• Swift

A simple image classification test using Core ML and Inception V3 model in Objective-C

• UpdatedNov 24, 2017
• Objective-C

The better way to deal with MNIST model and Core ML in iOS

• UpdatedNov 15, 2017
• Swift

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

• UpdatedJun 21, 2017
• Swift

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

• UpdatedJul 5, 2018
• Swift

A simple iOS app to demonstrate Machine Learning capabilities using Core ML and Vision framework.

• UpdatedJul 14, 2017
• Objective-C

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

• UpdatedAug 6, 2019
• Swift