kramersmoyal
kramersmoyal: Kramers--Moyal coefficients for stochastic processes - Published in JOSS (2019)
PyFPT
PyFPT: A Python package for first-passage times - Published in JOSS (2023)
CancerSim
CancerSim: A Cancer Simulation Package for Python 3 - Published in JOSS (2020)
uqpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
JumpProcesses
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
StochasticDiffEq
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
osemosys_pulp
OSeMOSYS_PuLP: A Stochastic Modelling Framework for Long-Term Energy Systems Modeling
DiffEqFinancial
Differential equation problem specifications and scientific machine learning for common financial models
https://github.com/dmetivie/stochasticweathergenerators.jl
A Julia package to define, fit and generate from Stochastic Weather Generators
SpiDy.jl
SpiDy.jl: open-source Julia package for the study of non-Markovian stochastic dynamics - Published in JOSS (2024)
https://github.com/csinva/biophysical-threshold-simulations
Simulations for characterizing stochastic threshold in biophysical neurons.
https://github.com/cjabradshaw/whalesharkenergeticsmodel
A stochastic energetics model to estimate the probability of meeting the energetic needs of whale sharks at a food-provisioned tourist site
estimate-emergence-from-data
Code for reproducing the results from the preprint "Using early detection data to estimate the date of emergence of an epidemic outbreak".
https://github.com/aresio/procell
Stochastic simulation of cell populations proliferation