8 programs for "markov" with 2 filters applied:

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  • 1
    JAGS is Just Another Gibbs Sampler. It is a program for the statistical analysis of Bayesian hierarchical models by Markov Chain Monte Carlo.
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    Downloads: 1,846 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
    The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
    Downloads: 2 This Week
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  • 4
    HYDRA is an open-source, platform-neutral library for performing Markov Chain Monte Carlo. It implements the logic of standard MCMC samplers within a framework designed to be easy to use and to extend while allowing integration with other software to
    Downloads: 0 This Week
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    User Testing Platform | Testeum

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  • 5
    depmix is a package for the R statistical computing environment, to fit (multigroup) mixtures of latent Markov models on mixed categorical and continuous (timeseries) data
    Downloads: 0 This Week
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  • 6
    Algorithms to estimate the number of k-colorings of a low-degree graph using samplings from a markov chain are provided.
    Downloads: 0 This Week
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  • 7
    HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.
    Downloads: 0 This Week
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  • 8
    Two Markov-Chain-Monte-Carlo-algorithms ("Glauber Dynamics" and "Flip Dynamics") used for randomly sampling k-colorings of a graph.
    Downloads: 0 This Week
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