Showing 5 open source projects for "galaxy 2 s plus"

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  • 1
    Community Detection Modularity Suite

    Community Detection Modularity Suite

    Suite of community detection algorithms based on Modularity

    - MixtureModel_v1r1: overlapping community algorithm [3], which includes novel partition density and fuzzy modularity metrics. - OpenMP versions of algorithms in [1] are available to download. - Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2]. Collaborator: Theologos Kotsos. [1] M. Newman & M. Girvan, Physical Review, E 69 (026113), 2004. [2] M. Newman...
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  • 2
    phcfM

    phcfM

    R package for modelling anthropogenic deforestation

    phcfM is an R package for modelling anthropogenic deforestation. It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data...
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  • 3
    Sage Bionetworks
    Opensource software projects for genetics and genomics from Sage Bionetworks.
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  • 4
    Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
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    Omnichannel contact center platform for enterprises.

    For Call centers or BPOs with a very high volume of calls

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  • 5
    Pi-VisualR

    Pi-VisualR

    Qt-based C++ GUI programming interface to R

    VisualR is a (currently) Windows only C++ GUI programming interface to R. It allows creating full featured applications that complelely control R and serves as a GUI programming toolkit that can be controlled from inside R code.
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