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pyAgrum: pyAgrum 0.10.0 released
Ajouté par Pierre-Henri Wuillemin il y a 4 jours

aGrUM: aGrUM/pyAgrum 0.10.0 released
Ajouté par Pierre-Henri Wuillemin il y a 4 jours

aGrUM: aGrUM/pyAgrum 0.9.2 released
Ajouté par Pierre-Henri Wuillemin il y a plus d'un an

aGrUM: aGrUM/pyAgrum 0.9.1 released
Ajouté par Pierre-Henri Wuillemin il y a plus d'un an

pyAgrum: pyAgrum 0.9.0 released
aGrUM/pyAgrum 0.9.0 has been released and is available for download in the public git repository (tag 0.9.0).
Ajouté par Pierre-Henri Wuillemin il y a environ 2 ans

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Derniers projets

  • Non convex Regularized Bundle Method (15/11/2012 11:35)

    Bundle Method for optimizing convex and non convex risks.

    This code implements an algorithm named NRBM (Non convex Regularized Bundle Methods) that we designed to deal efficiently with regularized non convex risks as often encountered in the machine learning field. It is a generic code able to deal with convex, non convex, smooth and non smooth risks....

  • mlia (14/11/2012 17:30)

    You can find here public available codes by the statistical machine learning group of the Machine Learning and Information REtrieval team of Uinversity Pierre et Marie Curie.

  • pyAgrum (17/01/2012 13:51)


    pyAgrum is a Python wrapper for the C++ aGrUM library.
    It provides a high-level interface to the part of aGrUM allowing to create, handle and make computations into Bayesian Networks....

  • aGrUM (12/05/2011 15:50)

    aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes. ...