UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
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Updated
Dec 11, 2024 - Python
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Uncertainty treatment library
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
Numerical experiments with stochastic differential equations
DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286
Simulation for deep reinforcement learning on stochastic time series
Model of propagating blobs in 1D and 2D
Geostatistical Inversion
CS 5291 Stochastic Process for Networking 2022 Course Materials
The Coastal version of the Stochastic Multcloud model
C++ implementation of the Structural Preferential Attachment network growth simulation
The code that powers my thesis
Minimalist Matlab implementation of a random process generation in one point
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