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.

Repository for the final project for Procesos Estocásticos. S1.63.10

The code that powers my thesis

Python scripts based on Dobrow's "Introduction to Stochastic Processes with R"

for modeling random walks: https://en.wikipedia.org/wiki/Random_walk

Simulation for deep reinforcement learning on stochastic time series

The Coastal version of the Stochastic Multcloud model

Model of propagating blobs in 1D and 2D

A tiny package to compute the dynamics of stochastic and molecular simulations

This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"

Python implementation of fractional brownian motion

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

A library for discrete-time Markov chains analysis.

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.