Showing 3 open source projects for "markov"

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  • Omnichannel contact center platform for enterprises. Icon
    Omnichannel contact center platform for enterprises.

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

    Deliver a personalized customer experience with every interaction, across every channel, with uContact, net2phone’s cloud contact center solution.
  • Precoro helps companies spend smarter Icon
    Precoro helps companies spend smarter

    Fully Automated Process in One Tool: From Purchase Orders to Budget Control and Reporting.

    For minor company expenses, you might utilize a spend management solution or track everything in spreadsheets. For everything more, you'll need Precoro. We help companies achieve procurement excellence and budget efficiency by building transparent, predictable, automated spending workflows.
  • 1
    TensorFlow Probability

    TensorFlow Probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    ... using a single language throughout the lifecycle of model exploration and production. TFP is open source and available on GitHub. Tools to build deep probabilistic models, including probabilistic layers and a `JointDistribution` abstraction. Variational inference and Markov chain Monte Carlo. A wide selection of probability distributions and bijectors. Optimizers such as Nelder-Mead, BFGS, and SGLD.
    Downloads: 0 This Week
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  • 2
    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
    Downloads: 0 This Week
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  • 3
    Accord.NET Framework

    Accord.NET Framework

    Scientific computing, machine learning and computer vision for .NET

    The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
    Downloads: 0 This Week
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