Search Results for "learning app"

...It contains a large collection of example projects, exercises, and complete applications that guide learners from beginner to advanced levels. The repository is structured into different learning tracks, including UIKit-based development and modern SwiftUI approaches, allowing developers to explore multiple paradigms within the Apple ecosystem. Each project is designed to reinforce specific concepts such as UI design, data handling, animations, and app architecture. The material emphasizes hands-on learning, encouraging users to build real applications rather than passively consume theory. ...

Posturr is a macOS application that uses computer vision and machine learning — specifically Apple’s Vision framework — to monitor a user’s posture in real time and encourage healthier habits by visually responding when poor posture is detected. Running locally on the Mac, the app accesses the built-in camera to detect when you slouch or sit incorrectly, and when it recognizes sustained slouching, it applies a progressive visual blur to the screen as a subtle but effective cue to straighten up. ...

SwiftUI views that asynchronously loads and displays an OpenAI image from open API. You just type in your idea and AI will give you an art solution. DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts". You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC) OpenAI's text-to-image model DALL-E 2 is a recent example of diffusion models. It uses diffusion models for...

...Built using macOS frameworks and powered by the Simperium synchronization protocol, it ensures that any text or Markdown notes you create are automatically backed up and kept in sync with Android, iOS, web, and other clients. The app supports fast searching and tagging so users can keep large collections of notes orderly, and has features like history or revision views to recover previous edits. macOS integration means users benefit from keyboard shortcuts, native window management, and system services like Spotlight search to find notes instantly. As a GPL-licensed open-source project, it invites contributions and learning, letting developers tweak UI or add platform-specific enhancements without being locked into a proprietary ecosystem.

...Each package is focused on a specific aspect of the application, such as the UI, network communication, or data models. This modular approach allows for easier collaboration and ensures that the code is organized and easy to understand. It's a great starting point for learning SwiftUI. The app covers many of the basic concepts of SwiftUI, such as building layouts, working with data, and handling user interaction. By exploring the code, you can gain a solid understanding of how to use SwiftUI in your daily life.

Chat with your favourite LLaMA models, right on your Mac. LlamaChat is a macOS app that allows you to chat with LLaMA, Alpaca, and GPT4All models all running locally on your Mac.

With the AR MultiPendulum app, I created the world’s first AR headset experience that does not rely on expensive specialized hardware. Using Google Cardboard, a standard iPhone, and video footage from the phone’s camera, the app creates an AR headset experience by rendering the user’s surroundings in VR. Augmented reality (AR) is a technology that overlays virtual objects over the real world. For years, AR experiences have been available on smartphones through handheld AR apps. In 2016,...

Unwrap is a Swift-based macOS application designed to help developers and learners improve their Swift programming skills through interactive challenges and structured lessons. Created as a companion to educational content, it focuses on teaching fundamental and advanced concepts in a hands-on manner. The app presents exercises that require users to write and refine Swift code, reinforcing understanding through practice rather than passive learning. It covers a wide range of topics, including syntax, control flow, optionals, and more advanced language features. The interface is designed to be approachable and engaging, encouraging consistent learning through bite-sized challenges. ...

...Bender suports the most common ML nodes and layers but it is also extensible so you can write your own custom functions. With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. Apple released conversion tools to create CoreML models which then can be run easily. Finally, there is no easy way to add additional pre or post-processing layers to run on the GPU.