Search Results for "learning"
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Showing 27 open source projects for "learning"
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1
Hacking with Swift
The project source code for Hacking with iOS
...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. ... -
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Swift Macros
A curated list of awesome Swift Macros
...It is especially valuable for developers moving from code-generation tools toward Swift’s built-in macro system. Swift-Macros is not a single library, but a reference hub for learning the Swift macro ecosystem and finding useful implementation patterns. -
3
Amazon Chime SDK for iOS
An iOS client library for integrating multi-party communications
The Amazon Chime SDK for iOS makes it easy to add collaborative audio calling, video calling, and screen share viewing features to iOS applications by using the same infrastructure services that power meetings on the Amazon Chime service. This Amazon Chime SDK for iOS works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your iOS application, including methods to:... -
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OpenAI DALL·E AsyncImage SwiftUI
OpenAI swift async text to image for SwiftUI app using OpenAI
...In machine learning, diffusion models, also known as diffusion probabilistic models, are a class of latent variable models. They are Markov chains trained using variational inference. The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space. -
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5
Apple Silicon Guide
Learn all about the A17 Pro, A16 Bionic, R1, M1-series
...The guide also includes practical advice on setting up development environments — such as configuring compilers, package managers, containers, virtualization tools (e.g., UTM/VMs) — and resolving common pain points with dependencies that historically lacked native support. For creative and power users, there are performance recommendations for video/audio production, machine learning workflows, and GPU-accelerated tasks. -
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Containerization (Apple)
Containerization is a Swift package for running Linux containers
...Developers get a blueprint for taking standard container images and running them in a way that respects platform conventions, tooling, and policies. The emphasis is on clarity and standards alignment rather than building a production-grade engine, which makes the code ideal for learning and experimentation. -
7
Posturr
A macOS app that blurs your screen when you slouch
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. ... -
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Swift Guide
Swift Featured Projects in brain Mapping
SwiftGuide is a comprehensive, community-maintained guide to the Swift programming language, designed to serve as both a learning resource and a handy reference. It covers all major language aspects: syntax, control flow, functions, closures, generics, protocols, extensions, memory management, concurrency, and the standard library. Each topic typically includes clear explanations, annotated code snippets, and tips for best practices, helping readers understand both how features work and how to use them idiomatically. ... -
9
IceCubesApp
A SwiftUI Mastodon client
...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. -
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10
APNGKit
High performance and delightful way to play with APNG format in iOS
...APNGKit offers a friendly API (e.g. APNGImage, APNGImageView) that behaves similarly to the standard image/image-view pattern, making it easy for iOS/macOS developers to adopt without learning complex new APIs. It handles loading, decoding, timing, and rendering of animated PNG frames, providing smooth animations, correct color and transparency handling, and performance optimizations. The library supports modern Apple platforms (iOS, macOS, tvOS, visionOS) and works with standard dependency managers (Swift Package Manager, CocoaPods), making integration into existing projects straightforward. -
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Simplenote for macOS
Simplenote for Mac
...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. -
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Safe Exam Browser is a webbrowser-environment to carry out online-exams safely. The software changes any computer into a secure workstation. It regulates the access to any utilities and prevents students from using unauthorised resources.
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13
NSFWDetector
A NSFW detector with CoreML
NSFWDetector is a small (17 kB) CoreML Model to scan images for nudity. It was trained using CreateML to distinguish between porn/nudity and appropriate pictures. With the main focus on distinguishing between Instagram model-like pictures and porn. -
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Zero to Mastery Deep Learning TensorFlow
All course materials for the Zero to Mastery Deep Learning with TF
This project is a comprehensive, code-first deep learning curriculum built around TensorFlow and Keras, designed to guide learners from foundational concepts to practical model deployment through hands-on experimentation. It is structured as a series of progressively complex Jupyter notebooks that emphasize writing and understanding code before diving into theory, reinforcing learning through repetition and application. -
15
iOS-10-Sampler
Code examples for new APIs of iOS 10
...It was created for Xcode 8 and requires a physical iOS device because some examples use Metal. The project covers speech recognition, looped video playback, Live Photo capture, and audio volume fading. Its graphics and machine learning samples use Metal Performance Shaders for handwritten digit detection and real-time image recognition. Interface examples demonstrate UIViewPropertyAnimator, interactive blur progress, and 3D Touch preview interactions. It also includes image-rich local notifications, an iMessage sticker pack, and a simplified Core Data stack based on NSPersistentContainer. ... -
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iOS-9-Sampler
Code examples for the new features of iOS 9
...It also demonstrates Core Spotlight search, content blocker extensions, Low Power Mode detection, Contacts, and ReplayKit. Hardware-oriented samples include 3D Touch quick actions, force visualization, and Live Photos. The repository is now most valuable as a historical learning resource for understanding how these APIs were originally adopted. -
17
LlamaChat
Chat with your favourite LLaMA models in a native macOS app
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. -
18
ARHeadsetKit
Using $5 Google Cardboard to replicate Hololens
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,... -
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About SwiftUI
Gathering all info published, both by Apple and by others
...Topics span layouts, navigation, animations, data flow, accessibility, Combine, architecture, and integration with UIKit and AppKit. Community contributions continually expand the directory with new SwiftUI learning resources. The project functions as a discovery catalog rather than a Swift package or application. -
20
course-v3
The 3rd edition of course.fast.ai
course-v3 repository contains the complete learning materials for the third edition of the Practical Deep Learning for Coders course developed by the fast.ai research group. The repository includes Jupyter notebooks, lesson materials, datasets, and supporting documentation used in the course to teach modern deep learning techniques. The course emphasizes a top-down approach to learning artificial intelligence, where students begin by building practical models and later study the underlying theory and mathematics. ... -
21
Swift for TensorFlow
Swift for TensorFlow
Swift for TensorFlow repository contains the open-source implementation of Swift for TensorFlow, a project that integrates machine learning capabilities directly into the Swift programming language. The initiative aims to provide a new programming model for developing machine learning systems by combining the power of TensorFlow with language-level features such as automatic differentiation and strong type systems. By embedding machine learning functionality into the Swift compiler and language design, the project enables developers to write high-performance machine learning models while maintaining the readability and safety of modern programming practices. ... -
22
30 Days of Swift
A self-taught project to learn Swift
30DaysofSwift is a challenge-style collection of Swift exercises and learning tasks meant to be tackled over 30 days (or more flexibly). Each “day” introduces a coding problem, concept, or mini project that builds on previous days: for example, fundamentals on day 1, optionals and control flow, Swift data structures, closures, protocol programming, UI interaction, etc., culminating in more advanced topics or sample apps. -
23
Unwrap
Learn Swift interactively on your iPhone
...By combining education with interactivity, it creates a learning experience that feels more like a game than a traditional course. -
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Bender
Easily craft fast Neural Networks on iOS
...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. -
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LocoKit
Location, motion, and activity recording framework for iOS
...Machine Learning-based activity type detection. Improved detection of Core Motion activity types (stationary, walking, running, cycling, automotive). Distinguish between specific transport types (car, train, bus, motorcycle, airplane, boat). Optionally produce high level Path and Visit timeline items, to represent the recording session at human level.
