Showing 2 open source projects for "markov prediction"

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  • 1
    Spotlight

    Spotlight

    Deep recommender models using PyTorch

    ..., and 20M. It also incorporates utilities for creating synthetic datasets. For example, generate_sequential generates a Markov-chain-derived interaction dataset, where the next item a user chooses is a function of their previous interactions. Recommendations can be seen as a sequence prediction task: given the items a user has interacted with in the past, what will be the next item they will interact with? Spotlight provides a range of models.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
    Downloads: 1 This Week
    Last Update:
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