UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
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Updated
Oct 4, 2024 - Python
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
A library for discrete-time Markov chains analysis.
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Python implementation of fractional brownian motion
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
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"
Simulation for deep reinforcement learning on stochastic time series
Model of propagating blobs in 1D and 2D
The code that powers my thesis
The Coastal version of the Stochastic Multcloud model
The offcial implementation of the Moment Neural Network (MNN)
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
Python scripts based on Dobrow's "Introduction to Stochastic Processes with R"
for modeling random walks: https://en.wikipedia.org/wiki/Random_walk
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