Showing 4 open source projects for "mobile coding"

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    openFrameworks

    openFrameworks

    Cross platform toolkit for creative coding in C++

    openFrameworks is a C++ toolkit for creative coding. docs have some documentation around OF usage, per platform things to consider, etc. You should definitely take a look in there; for example, if you are on OSX, read the osx.md. apps and examples are where projects go -- examples contain a variety of tasks that show you how to use OF, and apps is where your own projects will go. libs contain the libraries that OF uses, including the open frameworks core itself. addons are for additional...
    Downloads: 3 This Week
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  • 2
    JUCE

    JUCE

    JUCE is an open-source cross-platform C++ application framework

    ...With support for PC, Mac and Linux, JUCE is the perfect tool for building powerful and complex applications. JUCE also supports the development of plug-ins: VST, AU and AAX. Run your desktop applications on mobile! One-click deployment to Android and iOS (requires Android Studio and XCode) Adjust the user interface of your application with the Projucer live coding engine.
    Downloads: 10 This Week
    Last Update:
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  • 3
    Cutelyst

    Cutelyst

    Web Framework built on top of Qt, using the approach of Catalyst

    Create fast and modern web applications that share the same code as your desktop or mobile apps. Why have two or more development teams focused on a specific platform when you can have a single team coding the same code, sharing skills and lines of code. With Qt, you already can write applications for Windows, Linux, Android, MacOS, and iOS using the same source code, Cutelyst allows you to share your C++ code with your web application.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Caffe Framework

    Caffe Framework

    Caffe, a fast open framework for deep learning

    ...Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models.
    Downloads: 0 This Week
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