Search Results for "e-learning"
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Showing 13 open source projects for "e-learning"
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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. -
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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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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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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. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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5
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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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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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. -
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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. -
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10
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. -
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Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. -
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SwiftCharts
Easy to use and highly customizable charts library for iOS
Easy to use and highly customizable charts library for iOS Swift 1.2, iOS 7/8. Swift 2.0 branch (latest test on XCode 7 beta 3).
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