Showing 6 open source projects for "orangefox-ruby-unofficial-v...img"

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  • 1
    NiftyNet

    NiftyNet

    An open-source convolutional neural networks platform for research

    An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging...
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  • 2

    OpenRTDynamics

    A framework for implementing real-time control systems

    - - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides many other nice features. ...
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  • 3
    Pamvotis is a Wireless LAN Simulator for all the current physical layer extentions of the IEEE 802.11 (IEEE 802.11 a/b/g) standard and for the IEEE 802.11e Draft for Quality of Service in WLANs.
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  • 4
    Rubyturgy is designed to help students perform textual analysis on publicly available texts. It is intended to mimic Unix text utility functionality, while providing more useful representations of data for students of literature.
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  • 5
    Ruby Research Wiki (RRiki) can be used to keep notes and organize references for research. It uses a browser interface, an intuitive plain text formatting language (markdown), and facilities to cross-reference and hierarchically organize notes
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  • 6
    This tool offers guidance and support for applicants in the compiling of their APEL claim.
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