Showing 3 open source projects for "mobile learning (lms)"

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  • New Plans, same great Auth0 | Auth0 by Okta Icon
    New Plans, same great Auth0 | Auth0 by Okta

    You asked, we delivered! Auth0 has expanded our Free and Paid plans to make it even easier for you to protect your customers identities.

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    Top-Rated Free CRM Software

    216,000+ customers in over 135 countries grow their businesses with HubSpot

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  • 1
    POCO

    POCO

    Cross-platform C++ libraries for building network applications

    The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C...
    Downloads: 2 This Week
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  • 2
    Gideros

    Gideros

    Gideros Release version

    Gideros is a cross-platform development environment for creating amazing games and interactive applications in 2D or 3D. It is easy to pick up, quick to develop, and robust to deploy. Code your game once and deploy it to Android, iOS, MacOS, tvOS, Windows, HTML 5, and more. Apart from supporting multiple platforms, Gideros also provides automatic screen scaling and automatic selection of proper image resolution, which makes supporting different screen resolutions, aspect ratios, and...
    Downloads: 1 This Week
    Last Update:
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  • 3

    LBP in multiple platforms

    LBP implementation in multiple computing platforms (ARM,GPU, DSP...)

    ...: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014
    Downloads: 0 This Week
    Last Update:
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