Machine Learning model optimizer and exporter for embedded systems and mobile platforms

Machine Learning App that uses a Flower Recognition Model to tell user what flower a picture is

📝 Code used in article about CoreML

Ready to use Core-ML modules to be used in iOS apps by using Turicreate.

Using Core ML to Build a Simple Image Recognition App

Integrate machine learning models into your app for image recognition using core ML and Inception v3 Model

iOS 11 application demonstrating Apple's CoreML framework

The 4th project of "100 Days of SwiftUI" tutorial course from Paul Hudson's "Hacking with Swift" website. An app that returns a calculated bedtime for indicated wake-up hour, sleep duration and cups of coffee, based on trained model generated by Create ML and used with Core ML framework. Complete project, including solutions to all the challenges.

BetterRest is a SwiftUI application that helps users determine the optimal bedtime based on their desired wake-up time, amount of sleep needed, and daily coffee intake. The app leverages CoreML to make predictions about the best time to go to bed. Designed for 100DaysOfSwiftUI

Core ML project. Image Classification

swiftui project for object recognition and generating a wikipedia article about the detected object

Core ML and Machine learning.

A demonstration of using CoreML

A garage for old drivers. 🚐 👨🏻‍✈️

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

iOS alarm app w/ personal data powered by Core ML - Sound Classification

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

A miner optimized for Apple Silicon M series processors.

There are two phases of this iOS application, one which has the implementation of Resnet Model (CoreML Model) and also Hand State Detection Model which i made using Custom Vision.

Approach to implementing distributed training of an ML model on mobile devices.