Machine Learning model optimizer and exporter for embedded systems and mobile platforms
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Updated
Feb 7, 2018 - Python
Machine Learning model optimizer and exporter for embedded systems and mobile platforms
The application integrates CoreML to predict bedtime
Integrate machine learning models into your app for image recognition using core ML and Inception v3 Model
Using Core ML to Build a Simple Image Recognition App
Ready to use Core-ML modules to be used in iOS apps by using Turicreate.
Machine Learning App that uses a Flower Recognition Model to tell user what flower a picture is
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.
Core ML and Machine learning.
A demonstration of using CoreML
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
swiftui project for object recognition and generating a wikipedia article about the detected object
iOS alarm app w/ personal data powered by Core ML - Sound Classification
Types and functions that make it a little easier to work with Core ML in Swift.
A miner optimized for Apple Silicon M series processors.
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 body movement tracking experimental app using Vision and CoreML frameworks to make sports mini games.
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