Showing 6 open source projects for "boost"

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  • 1
    TRSL is a C++ library that implements several (statistical) sampling schemes behind an (STL-like) iterator interface. The library may be used e.g. in particle filtering. It is distributed under the Boost SL (BSL is a free-software license).
    Downloads: 0 This Week
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  • 2

    Trowel - Sequencing Error Corrector

    Error Correction Module for Illumina Sequencing Reads

    ...Jan. 2013 by Euncheon Lim in Prof. Dr. Detlef Weigel's Lab in Max-Planck Institute for Developmental Biology. First of all, you have to install the exact version of boost(>=1.53.0), google sparse hash(>=2.0.2), GCC(>=4.6), autoconf(=2.69), and automake(=1.13).
    Downloads: 0 This Week
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  • 3
    MLboost: Machine Learning boost library in Python. MLboost main goal is to speedup any Machine Learning projects by simplifying data preprocessing, features selection and data visualisation. Design by Machine Learning practitioners to let them do ML...;)
    Downloads: 0 This Week
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  • 4
    Constraint Satisfaction Problems Solver for Binary constraints, input files in XML with the current format XCSP 2.1, adopted for the 2008 CSP/MaxCSP/WCSP solver competition. The solver is in C++ and use the boost library
    Downloads: 0 This Week
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  • 5
    This software will allow users to create graph of any kind. The user could apply some algo on the graph, like : Warshall, Ford Bellman, etc... These algo would be use with the help of the Boost library.
    Downloads: 0 This Week
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  • 6

    Ekstasis

    A digital signal processing (DSP) framework (w/ audio to midi focus)

    Ekstasis is currently a rapidly produced prototype version of a Digital Signal Processing (DSP) framework which seeks to provide signal/data processing modules which can be strung together via Boost library interprocess message queues. Tools for creating and destroying the communication queues, loading/saving PCM 44100 Hz to/from the signal processing chain, windowing the data (currently only a Hann windowing function module), performing a Discrete Fourier Transform (DFT) on the data (using FFT, currently only real part), detecting the presence of an event within a data segment/packet via normalized spectral signature matching/comparison, and the generation of a midi file from the detection of said patterns (i.e., event occurrences) as output are currently available.
    Downloads: 0 This Week
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