The Coastal version of the Stochastic Multcloud model
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Updated
May 25, 2018 - Python
The Coastal version of the Stochastic Multcloud model
for modeling random walks: https://en.wikipedia.org/wiki/Random_walk
Python implementation of fractional brownian motion
The code that powers my thesis
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
Basic discrete event simulation of a queuing system. This simulation can be used as a basis for most other types of discrete-event simulations. This version is an example that simulates a G/G/c queuing system.
Python scripts based on Dobrow's "Introduction to Stochastic Processes with R"
Simulation for deep reinforcement learning on stochastic time series
A tiny package to compute the dynamics of stochastic and molecular simulations
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
A library for discrete-time Markov chains analysis.
The offcial implementation of the Moment Neural Network (MNN)
Model of propagating blobs in 1D and 2D
Repository for the final project for Procesos Estocásticos. S1.63.10
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
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