Approach to implementing distributed training of an ML model: server/device training for iOS.
-
Updated
Sep 16, 2024 - Swift
Approach to implementing distributed training of an ML model: server/device training for iOS.
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
The Application uses CoreMotion and LocationManager to collect the data and saves it to a file that is transferred to the iPhone using WatchConnectivity
Machine Learning App that uses a Flower Recognition Model to tell user what flower a picture is
swiftui project for object recognition and generating a wikipedia article about the detected object
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.
Types and functions that make it a little easier to work with Core ML in Swift.
👁 A body movement tracking experimental app using Vision and CoreML frameworks to make sports mini games.
Types and functions that make it a little easier to work with Core ML in Swift.
Using Core ML to Build a Simple Image Recognition App
iOS alarm app w/ personal data powered by Core ML - Sound Classification
An Application that can control a timer with just a Look at your hand. Not Kidding...Seriously.
Core ML and Machine learning.
BlindAssist iOS app
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
Classify images offline using Watson Visual Recognition and Core ML
Running Inception-v3 on Core ML
The MobileNet neural network using Apple's new CoreML framework
Add a description, image, and links to the core-ml topic page so that developers can more easily learn about it.
To associate your repository with the core-ml topic, visit your repo's landing page and select "manage topics."