Search Results for "processing source code for the processing core and development environment"

Showing 7 open source projects for "processing source code for the processing core and development environment"

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  • 1
    Highlightr

    Highlightr

    iOS & OSX Syntax Highlighter

    Highlightr is an iOS & macOS syntax highlighter built with Swift. It uses highlight.js as it core, supports 185 languages and comes with 89 styles. Takes your lame string with code and returns a NSAttributtedString with proper syntax highlighting. CocoaPods is a dependency manager for Cocoa projects. Carthage is a decentralized dependency manager that builds your dependencies and provides you with binary frameworks. Yes, Highlightr relies on iOS & macOS JavaScriptCore to parse the code using...
    Downloads: 4 This Week
    Last Update:
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  • 2
    Nuke

    Nuke

    Image loading system

    Nuke ILS provides an efficient way to download and display images in your app. It's easy to learn and use thanks to a clear and concise API. Its architecture enables many powerful features while offering virtually unlimited possibilities for customization. Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and...
    Downloads: 8 This Week
    Last Update:
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  • 3
    Posturr

    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...
    Downloads: 0 This Week
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  • 4
    Zero to Mastery Deep Learning TensorFlow

    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. The material covers core machine learning workflows including...
    Downloads: 0 This Week
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  • 5
    AudioKit

    AudioKit

    Swift audio synthesis, processing, & analysis platform

    AudioKit is an entire audio development ecosystem of code repositories, packages, libraries, algorithms, applications, playgorunds, tests, and scripts, built and used by a community of audio programmers, app developers, engineers, researchers, scientists, musicians, gamers, and people new to programming. An important goal for AudioKit is to allow it to grow and be maintainable by a handful of volunteers. For this reason we have extensive tests that are run whenever changes are made to any...
    Downloads: 0 This Week
    Last Update:
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  • 6
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. 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...
    Downloads: 0 This Week
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  • 7
    Bender

    Bender

    Easily craft fast Neural Networks on iOS

    Bender allows you to easily define and run neural networks on your iOS apps, it uses Apple’s MetalPerformanceShaders under the hood. Bender provides the ease of use of CoreML with the flexibility of a modern ML framework. Bender allows you to run trained models, you can use Tensorflow, Keras, Caffe, the choice is yours. Either freeze the graph or export the weights to files. You can import a frozen graph directly from supported platforms or re-define the network structure and load the...
    Downloads: 0 This Week
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