core-ml

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

Types and functions that make it a little easier to work with Core ML in Swift.

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

🎰 A curated list of machine learning resources, preferably CoreML

The MobileNet neural network using Apple's new CoreML framework

Classify images offline using Watson Visual Recognition and Core ML

Text Detector from image for react native using firebase MLKit on android and Tesseract on iOS

This native plugin enables Unity to take advantage of specific features of Core-ML and Vision Framework on the iOS platform.

Bootstrap your Lobe machine learning model with our iOS starter project.

Running Inception-v3 on Core ML

A miner optimized for Apple Silicon M series processors.

Types and functions that make it a little easier to work with Core ML in Swift.

BlindAssist iOS app

A real-time classifier demo using Core ML and pre-trained Resnet50 model on iOS 11.

A list of useful materials about Create ML and Core ML

This project leverages Core ML body segmentation to replace the background in real-time on iOS devices. Using deep learning model, it accurately detects and segments the human figure, allowing users to apply custom virtual backgrounds. Optimized for performance, it ensures smooth processing on mobile devices.

Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀

Scripts to generate the BlindAssist Core ML model

Building a iOS Application using Apple's Core ML Framework, we will builed a Linear SVC model using sklearn library on the SMS Data, users will type a message on their iPhone and our model will then identify whether the message is a Spam or a Ham (Not spam).

The Application uses CoreMotion and LocationManager to collect the data and saves it to a file that is transferred to the iPhone using WatchConnectivity