A Python framework to build and simulate stochastic rules-based models.
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Updated
Sep 22, 2024 - Python
A Python framework to build and simulate stochastic rules-based models.
Agent-based Stochastic Kinetics
Networkx implementation of the SIS epidemic model for large and heterogeneous networks
Implementation of SIS epidemic model for large and heterogeneous networks
Generate realizations of stochastic processes in python.
StochPy is a versatile stochastic modeling package which is designed for stochastic simulation of molecular control networks
Multiscale Modelling Tool - mathematical modelling without the maths
GillesPy2 biochemical network simulation program via BioSimulators-compliant command-line interface and Docker container
BioNetGen biochemical network simulation program via BioSimulators-compliant command-line interface and Docker container
Automated simultaneous generation of statistics for multiple record Id’s running on an instance of an Access point, thus the automatic generation of multiple CSV, JSON and PDML files for numerous record Id’s. Analyzed statistics which contained PDU’s, SDU’s and other fields for the goal of improvising and predicting throughput for access points
Python code of the Decadal and Hierarchical Markov Chain (DHMC) model for stochastic simulation of daily rainfall
Simulate games involving a system of multiple state machines interacting with each other
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