Search Results for "machine"
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Showing 14 open source projects for "machine"
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UTM
Virtual machines for iOS and macOS
UTM is a full-featured system emulator and virtual machine host for iOS and macOS. It is based off of QEMU. In short, it allows you to run Windows, Linux, and more on your Mac, iPhone, and iPad. UTM/QEMU requires dynamic code generation (JIT) for maximum performance. JIT on iOS devices requires either a jailbroken device or one of the various workarounds found for specific versions of iOS. -
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VirtualBuddy
Virtualize macOS 12 and later on Apple Silicon
VirtualBuddy can virtualize macOS 12 and later on Apple Silicon, with the goal of offering features that are useful to developers who need to test their apps on multiple versions of macOS, especially betas. -
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PortKiller
A powerful cross-platform port management tool for developers
PortKiller is a cross-platform port management tool for developers that makes it easy to monitor network ports, manage Kubernetes port forward sessions, integrate Cloudflare Tunnels, and kill processes using a friendly UI. It auto-discovers all listening TCP ports on your machine, lets you filter and search through them, and provides one-click graceful or forceful termination of processes holding those ports. Beyond basic port listing, PortKiller includes Kubernetes port-forward session management with auto-reconnect and connection logs, plus Cloudflare Tunnel visibility so you can keep track of external tunnels. ... -
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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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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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Hot
Hot is macOS menu bar application that displays the CPU speed limit
Hot is macOS menu bar application that displays the CPU speed limit due to thermal issues. CPU throttling is a power management technique in computer architecture whereby the frequency of a microprocessor can be automatically adjusted "on the fly" depending on the actual need, to conserve power and reduce the amount of heat generated by the chip. -
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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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GPUImage 3
GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video
...It is the third generation of the GPUImage project and replaces the earlier OpenGL-based approach with Apple’s Metal framework. The library aims to make real-time video processing and machine vision easier by hiding much of the GPU rendering boilerplate. It supports image and video sources, custom shader-based processing, and filter pipelines. Its API is intended to stay close to GPUImage2 so projects can migrate with less friction where possible. It is useful for Apple-platform developers building camera effects, visual filters, real-time image analysis, and Metal-based media processing tools. -
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BartyCrouch
Incrementally update/translate your Strings files
..."Incrementally" means that BartyCrouch will by default keep both your already translated values and even your altered comments. Additionally, you can also use BartyCrouch for machine translating from one language to 60+ other languages. Using BartyCrouch is as easy as running a few simple commands from the command line which can even be automated using a build script within your project. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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GuillotineMenu.swift
Our Guillotine Menu Transitioning Animation implemented in Swift
Our Guillotine Menu Transitioning Animation implemented in Swift reminds a bit of a notorious killing machine. Now, it's for you to decide, should or not your menu drop from top left corner of the screen or from your navigation bar, because if you want animation like in the example, you must make your menu view controller conform to "GuillotineMenu" protocol. When you confirm to this protocol, you must make a menu button and title, you don't need to make a frame for them, because the animator will make it itself. ... -
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GPUImage 2
Framework for GPU-accelerated video and image processing
...The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
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Bender
Easily craft fast Neural Networks on iOS
...Either way, it just takes a few minutes. 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. We've created some example projects to demonstrate the...
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