Showing 7 open source projects for "stochastic processes"

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  • 1

    Zarja

    Agent-based simulation toolkit

    It is an open source scientific library that is focused on multi-agent simulations on graphs. It prepares basic toolkit for agents, models, timers, graphs, nodes and edges. It is also accompanied with tools for data processing.
    Downloads: 0 This Week
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  • 2
    STochastic Engine for Pathway Simulation
    Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS
    Downloads: 0 This Week
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  • 3

    Virus QSP Modeling

    C++ and Python code for simulating RNA virus replication

    Stochastic simulation model of poliovirus Sabin-to-Mahoney genetic state transition (C++ code). Models genotypes, virus populations, and quasispecies cloud. Simulates replication error and copy-choice recombination. Various parameters guiding the model are user-specified. Python code post-processes simulation output to produce report files.
    Downloads: 0 This Week
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  • 4

    simbTUM

    Simulation of stochastic processes and ODE models in biology.

    SIMulation of Biological systems (developed at the TU Munich) This program allows to define ODE-models or stochastic compartemental models of biological processes, to simulate, to fit data and to do some statistics (fitting and statistics for deterministic models only).
    Downloads: 0 This Week
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  • 5
    T3S Tool

    T3S Tool

    Learning Stochastic Discrete Event Systems

    Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.
    Downloads: 0 This Week
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  • 6
    ...It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
    Downloads: 0 This Week
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  • 7
    KStochastic gives the user the ability to create pictures of stochastic processes based on arbitrary probability distributions. Those pictures can then be used for illustration purposes in various publications treating random phenomena.
    Downloads: 0 This Week
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