Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
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Using Machine Learning to predict the type of exercise from movement data
😃 iOS11 demo application for sentiment polarity analysis.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
A playground for learning Assembly language through Swift.
Pokeapi wrapper, written in Swift
🌸 iOS11 demo application for flower classification.
A little tutorial written in Swift playgrounds to learn about transducers.
A Swift PlaygroundBook about Neural Networks
🖼 iOS11 demo application for image style classification.
An example of CoreML using a pre-trained VGG16 model
🌅 iOS11 demo application for visual sentiment prediction.
🏷 iOS11 demo application for predicting gender from first names.
Mac app to learn typing and the alphabet
Attempts on learning GoF's Design Patterns in Swift 3.
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
In this course your students will learn the fundamentals of Swift 3 programming, using Geometry as their context for learning. The style of this course mimic "Logo", which is an educational programming language designed in 1967 by Daniel Borrow, Wally Feurzeig, Seymour Papert and Cynthia Soloman.
A playground to learn regular expressions with Swift
Exsplore Sprite Kit in this playground. Learn how to setup and use spriteKit and change parmeters to see how it effects the sprites. Updated to Swift3
A text classification iOS app using tensorflow lite
See and learn how the CAAnimation and CAMediaTiming properties affect rendering using dynamic Xcode playground.