Convert Videos, Remove Commercials and Ads for your Windows Media Center, TV Recordings and any other Video.
advertisement apple background-converter commercial-removal comskip ffmpegAPNS/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.
apns notifications apple http2 apns-http apns2 jwt-token jwt push-notificationImagine 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.
nodejs dmg cli-app cli app disk-image create disk image mac application appleNodObjC 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.
obj objective mac apple ios osx cocoa ffi bridgeAerial 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.
screensaver apple video streaming aerial aerials apple-tvWWDC 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.
wwdc video apple osx developer-tools developer-experienceFooling 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.
animoji ios apple emoji augmented-reality iphone iphone-x private-apiInterested 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.
best-practices ios xcode apple provisioning-profiles architecture good-practicesBender 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.
machine-learning neural-networks metal apple iphone ios convolutional-neural-networks deep-learning deep-neural-networks residual-networksA summary of Apple's Swift language written on Playgrounds.
swift-language swift-summary apple playground apple-documentation xcode playgrounds-platform playgroundsSwiftyStoreKit 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.
swift-language ios in-app-purchase in-app-receipt swift-3 apple tvos iapThis 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.
apple security privacy osx disk-encryption macos-setup macos-security macbook-security dnscrypt-proxy macbook-configuration:iphone: Collaborative List of Open-Source iOS Apps
ios iphone ipad reactive-programming react-native awesome list app example carthage cocoapods game apple apple-tv apple-watch reactiveswiftCluster 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.
map cluster clustering mapkit ios annotations apple cocoapods carthage📢 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.
hackintosh clover tutorial apple hardware mac osx86 kext apple-hardware bootloader installer installationWe'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.
coreml coreml-model apple machine-learning curated-list coreml-framework coreml-models coremltools awesome-list models model download awesome core-ml ml caffe caffemodel tensorflow-models ios ios11React 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.
react-native touchid apple react native touch-id react-component react-native-component authentication auth authenticate mobileI 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.
neural network apple playground ipad ai machine-learning artificial-intelligence
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