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UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Probabilistic modelling and uncertainty quantification 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.
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
CS 5291 Stochastic Process for Networking 2022 Course Materials
Geostatistical Inversion
Model of propagating blobs in 1D and 2D
A multi agent dynamics application of lloyd's deployment algorithm bases on centroidal veronoi tesselations
The Coastal version of the Stochastic Multcloud model
Minimalist Matlab implementation of a random process generation in one point
The code that powers my thesis
C++ implementation of the Structural Preferential Attachment network growth simulation
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