iowncode

Why we included this project

iowncode works better as something to read than something to install: each folder pairs a blog-style writeup with runnable sample code, and the material mostly targets iOS 13. That adds up to SwiftUI charts and gestures, on-device Core ML training, a PencilKit MNIST demo, sound classifiers, and ARKit/RealityKit examples grouped by topic, with each entry naming the exact API and pattern it demonstrates. It is a practical on-ramp for iOS engineers who want to see how ML and AR features actually get wired into an app rather than read API docs in the abstract. The catch is the iOS 13 focus, and the author points newer material to a separate iOS 14+ repository, so check your deployment target before leaning on it. If your team is scoping out a Core ML feature for an existing app, the CreateML and CoreML walkthroughs are the place to start.