Showing 5 open source projects for "microsoft net framework"

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  • 1
    UnBBayes

    UnBBayes

    Framework & GUI for Bayes Nets and other probabilistic models.

    UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy.
    Downloads: 2 This Week
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  • 2
    SEPIA: Security-oriented PN Framework

    SEPIA: Security-oriented PN Framework

    Petri net framework for security related modeling and reasoning.

    SEPIA provides implementations for various types of Petri nets. Along Place/Transition-nets, it supports Petri nets with distinguishable token colors and defines coloured workflow nets, where coloured tokens are interpreted as data elements used during process execution. To support information flow analysis of processes, SEPIA defines so-called IF-Nets, tailored for security-oriented workflow modeling which enable users to assign security-levels (HIGH, LOW) to transitions, data elements and...
    Downloads: 0 This Week
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  • 3
    NGmp is a C# C++ Java Python VB.NET etc. etc. binding of GMP and MPFR multi-precision number libraries. With support of Microsoft .NET or Novell Mono runtime NGmp will run on mutliple platforms. It is faster than other libraries available on .NET or Mono
    Downloads: 0 This Week
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  • 4
    Demetrix is a Java-based process modelling system. The goal of the project is to develop a flexible framework for managing complex process models using Petri-Net-oriented methodologies (state-task networks and resource-task networks).
    Downloads: 0 This Week
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  • 5
    A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
    Downloads: 0 This Week
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