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  • Integrate VMP on ND4J for GPU integration

    NDJ4 (http://nd4j.org) is a new scientific computing library for JAVA which can perform matrix operations on top of GPUs. Many messages in VMP can be computes in terms of vector and matrix multiplications. So using NDJ4 could potentially speed up VMP.

    No due date
    0% complete0 open0 closed

  • Structural Learning

    No due date
    •1/3 issues closed
    33% complete2 open1 closed

  • HUGIN integration

    No due date
    •3/4 issues closed
    75% complete1 open3 closed

  • Flink integration

    No due date
    •4/10 issues closed
    40% complete6 open4 closed

  • RapidMiner Integration

    Integrate the toolbox as a part of the [RapidMiner](rapidminer.com/) software.

    No due date
    0% complete0 open0 closed

  • Spark Support

    Include the possibility of performing distributed learning of AMIDST probabilistic models on a SPARK cluster. The branch [sparklink](https://github.com/amidst/toolbox/tree/sparklink) already contains some functionalities for reading data, sampling from a Bayesian network and performing Maximum likelihood estimates.

    No due date
    •2/5 issues closed
    40% complete3 open2 closed

  • Hierarchical Priors

    Introduce Hierarchical Priors. First implementations are included in ARDPriors and HierarchicalPriors branches

    No due date
    •0/4 issues closed
    0% complete4 open0 closed
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