Showing 11 open source projects for "c programming framework"

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  • 1
    GNSS-SDR

    GNSS-SDR

    An open source software-defined GNSS receiver

    An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework.
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    Downloads: 1,728 This Week
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  • 2
    moebinv

    moebinv

    C++ libraries for manipulations in non-Euclidean geometry

    ...The source is written in literate programming NoWeb.
    Downloads: 8 This Week
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  • 3
    DaNNet

    DaNNet

    Deep Artificial Neural Network framework using Armadillo

    DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network.
    Downloads: 0 This Week
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  • 4
    Acoustic Research Tool (ART)

    Acoustic Research Tool (ART)

    Acoustic Simulation Library for Frequency and Time Domain Simulations.

    ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX...
    Downloads: 1 This Week
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  • 5
    StochKit is an extensible stochastic simulation framework developed in C++ that aims to make stochastic simulation accessible to practicing biologists and chemists, while remaining open to extension via new stochastic and multiscale algorithms. StochKit is part of the StochSS project [http://www.stochss.org/], and we are relying on continued funding for sustained development. Please consider registering to show your support.
    Downloads: 0 This Week
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  • 6
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk.
    Downloads: 0 This Week
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  • 7
    GraphEA

    GraphEA

    A 3D Graphical Framework for Exploring Evolutionary Algorithms

    Perfect to explore in the classroom: * Choose different problems, for different representations * Choose different genetic operators * Configure parameters * Visualization of the results on-line * Stop, pause or resume the evolutionary process * Explore how the genetic operators work * Save the results for future analysis
    Downloads: 0 This Week
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  • 8

    IPSA - Inventor Physics Simulation API

    Easy to use physics simulation combining ODE with OpenInventor.

    Create phyiscal simulations easily through IPSA which combines the OpenInventor 3D API with the Open Dynamics Engine (ODE). Scenes are read from .iv files and simulated in the supplied viewer applications. Find it at: http://ipsa.sourceforge.net
    Downloads: 0 This Week
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  • 9
    MSR Tools is a source code evolution analysis tool. It consists of a framework for mining software repositories and tools for metric calculation, visualization, defect prediction.
    Downloads: 2 This Week
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  • 10
    This project aims to build a portable pure C++ framework for GPGPU operations. It is conceived to ease scientific researches that need to speed up algebric and calculus operations on normal hardware, without the need of graphic programming knowledge.
    Downloads: 0 This Week
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  • 11
    DBNL

    DBNL

    Dynamic Bayesian Network Library

    DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...
    Downloads: 0 This Week
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