MCEBuddy 2.x

Convert Videos, Remove Commercials and Ads for your Windows Media Center, TV Recordings and any other Video.

APNS/2- ⚡ HTTP/2 Apple Push Notification Service (APNs) push provider for Go

•    Go

APNS/2 is a go package designed for simple, flexible and fast Apple Push Notifications on iOS, tvOS, OSX and Safari using the new HTTP/2 Push provider API.

create-dmg - Create a good-looking DMG for your macOS app in seconds

•    Javascript

Imagine you have finished a macOS app, exported it from Xcode, and now want to distribute it to users. The most common way of distributing an app outside the Mac App Store is by putting it in a .dmg file. These are hard to create, especially good-looking ones. You can either pay for a GUI app where you have to customize an existing design or you can run some homebrewed Bash script and you still have to design it. This tool does everything for you, so you can play with your 🐈 instead.Discuss it on Product Hunt and Twitter.

NodObjC - The Node.js ⇆ Objective-C bridge

•    Javascript

NodObjC exposes the Objective-C runtime to Node.js in a high-level, easy to use fashion. It uses the BridgeSupport files to dynamically generate an API from an Objective-C "Framework", and uses the node ffi module to dynamically interact with the Objective-C runtime.Or add it to the "dependencies" section of your package.json file.

Aerial - Aerial Apple TV screen saver for Windows

•    CSharp

Aerial is a Windows screen saver based on the new Apple TV screen saver that displays the aerial movies Apple shot over New York, San Francisco, Hawaii, China, etc. Aerial for Windows is based on the Mac Aerial Screen Saver by John Coates.

WWDC - The unofficial WWDC app for macOS

•    Swift

WWDC for macOS allows both attendees and non-attendees to access WWDC livestreams, videos and sessions during the conference and as a year-round resource. ⬇️ If you just want to download the latest release, go to the website.

SBSAnimoji - 🐵 Animoji app using Apples AvatarKit

•    Objective-C

Fooling around with Apples private framework AvatarKit, the framework used in Messages.app for recording Animoji videos. If you are looking to create your own Animoji, take a look at SBSCustomAnimoji. This project relies heavily on Apples private API and you should therefore not try to submit this code to App Store.

ios-good-practices - Good ideas for iOS development, by Futurice developers.

Interested in other mobile platforms? Our Best Practices in Android Development and Windows App Development Best Practices documents have got you covered. If you are looking for something specific, you can jump right into the relevant section from here.

Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

•    Swift

Bender is an abstraction layer over MetalPerformanceShaders useful for working with neural networks. Bender is an abstraction layer over MetalPerformanceShaders which is used to work with neural networks. It is of growing interest in the AI environment to execute neural networks on mobile devices even if the training process has been done previously. We want to make it easier for everyone to execute pretrained networks on iOS.

swift-summary - A summary of Apple's Swift language written on Playgrounds

•    Swift

A summary of Apple's Swift language written on Playgrounds.

SwiftyStoreKit - Lightweight In App Purchases Swift framework for iOS 8

•    Swift

SwiftyStoreKit is a lightweight In App Purchases framework for iOS 8.0+, tvOS 9.0+ and macOS 10.10+. I started Coding with Flutter, a YouTube video series on building apps with Flutter. Interested? Subscribe here.

macOS-Security-and-Privacy-Guide - A practical guide to securing macOS.

•    Python

This guide is a collection of techniques for improving the security and privacy of a modern Apple Macintosh computer ("MacBook") and macOS (formerly known as "OS X"). This guide is targeted to “power users” who wish to adopt enterprise-standard security, but is also suitable for novice users with an interest in improving their privacy and security on a Mac.

open-source-ios-apps - :iphone: Collaborative List of Open-Source iOS Apps

•    Swift

:iphone: Collaborative List of Open-Source iOS Apps

Cluster - Easy Map Annotation Clustering 📍

•    Swift

Cluster is an easy map annotation clustering library. This repository uses an efficient method (QuadTree) to aggregate pins into a cluster. The Annotation class exposes a style property that allows you to customize the appearance.

Magnetic - SpriteKit Floating Bubble Picker (inspired by Apple Music)

•    Swift

Magnetic is a customizable bubble picker like the Apple Music genre selection. A Magnetic object is an SKScene.

Hackintosh-Installer-University - open source tutorial & information collector for hackintosh installation

•    Shell

📢 This is an open source tutorial & information collector for Hackintosh installations that does not charge readers any fee. 📢 We don't want to build a universal installation tutorial and, it's also impossible since every devices are different. We are here because we want to gather information and experiences, we want to build an index for most successful builds in github and make them be discovered more easily. When I was just a newbie, I didn't know how to get start building a hackintosh since I didn't know what's a bootloader and an EFI partition. It took me a really long time to find a helpful build in Github due to the deep location of that repo. So this is the purpose why we created this index.

XHLaunchAd - 🔥The screen opening advertising solutions - 开屏广告、启动广告解决方案-支持静态/动态图片广告,mp4视频广告,全屏/半屏广告、兼容iPhone/iPad

•    Objective-C

🔥The screen opening advertising solutions - 开屏广告、启动广告解决方案-支持静态/动态图片广告,mp4视频广告,全屏/半屏广告、兼容iPhone/iPad.

Awesome-CoreML-Models - Largest list of models for Core ML (for iOS 11+)

•    HTML

We've put up the largest collection of machine learning models in Core ML format, to help iOS, macOS, tvOS, and watchOS developers experiment with machine learning techniques. We've created a site with better visualization of the models CoreML.Store, and are working on more advance features. If you've converted a Core ML model, feel free to submit an issue.

react-native-touch-id - React Native authentication with the native Touch ID popup.

•    Java

React Native Touch ID is a React Native library for authenticating users with biometric authentication methods like Face ID and Touch ID on both iOS and Android (experimental). In order to use Biometric Authentication, you must first link the library to your project.

EmojiIntelligence - Neural Network built in Apple Playground using Swift

•    Swift

I used this challenge to learn more about neural networks and machine learning. A neural network consists of layers, and each layer has neurons. My network has three layers: an input layer, a hidden layer, and an output layer. The input to my network has 64 binary numbers. These inputs are connected to the neurons in the hidden layer. The hidden layer performs some computation and passes the result to the output layer neuron out. This also performs a computation and then outputs a 0 or a 1. The input layer doesn’t actually do anything, they are just placeholders for the input value. Only the neurons in the hidden layer and the output layer perform computations. The neurons from the input layer are connected to the neurons in the hidden layer. Likewise, both neurons from the hidden layer are connected to the output layer. These kinds of layers are called fully-connected because every neuron is connected to every neuron in the next layer. Each connection between two neurons has a weight, which is just a number. These weights form the brain of my network. For the activation function in my network, I use the sigmoid function. Sigmoid is a mathematical function. The sigmoid takes in some number x and converts it into a value between 0 and 1. That is ideal for my purposes, since I am dealing with binary numbers. This will turn a linear equation into something that is non-linear. This is important because without this, the network wouldn’t be able to learn any interesting things. I have already mentioned that the input to this network are 64 binary numbers. I resize the drawn image to 8x8 pixels which makes together 64 pixels. I go through the image and check each pixel if the pixel has a pink color I add a 1 to my array else I add a 0. At the end I will have 64 binary numbers which I can add to my input layer.