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Stochastic Python Packages

Python packages with the GitHub topic stochastic. Sorted by monthly downloads, with stars and forks.
crflynn
stochastic

Generate realizations of stochastic processes in python.

274K 511 91
GAIA-UNIL
g2s

A flexible MPS framework

6K 46 11
starsimhub
covasim

COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions

3K 291 240
SURGroup
uqpy

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

2K 362 112
EMOD-Hub
emod-malaria

Source files for building the IDM EMOD disease transmission model.

585 107 53
xurendong
derivx

DerivX Core Library

535 21 4
verificarlo
significantdigits

Solid statistical analysis of Stochastic Arithmetic.

508 4 3
EMOD-Hub
emod-common

Source files for building the IDM EMOD disease transmission model.

430 107 53
Melvin-klein
algosto

A Python package that includes various stochastic algorithms.

428 0 0
EMOD-Hub
emod-hiv

Source files for building the IDM EMOD disease transmission model.

365 107 53
Heuro-labs
pyssa

Python package for stochastic simulations

357 18 2
LRydin
kramersmoyal

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

259 79 12
deepansh-saxena
duralang

Make stochastic AI systems durable with one decorator

254 30 2
JulioCesarMS
stochasticprocesses

A package to simulate stochastic processes

243 0 0
griano
epistoch

Epidemics Models with General Distribution for Infectious Period

230 1 1
Jacks0nJ
pyfpt

Stochastic first-passage time (FPT) simulations using importance sampling.

158 11 1
aresio
procell

Stochastic simulation of cell populations proliferation

117 0 2
randlab
pykasso

pyKasso is a python package to simulate stochastic karst conduit networks. It can be used as a preprocessing to simulate groundwater flow and solute transport in karstic systems.

102 24 5
Heuro-labs
cayenne

Python package for stochastic simulations

96 18 2
DanieleGioia
scenarioreducer

This library implements several approximate scenario reduction algorithms. Given a probability distribution with finite support, they aim to determine a probability measure with support of reduced and fixed cardinality by selecting the closest to the original one in terms of a selected statistical distance.

92 7 4
timpauli
yamm

yet another markov module

90 1 0
eonof
upgrade-policy-optimizer

Python library aimed at solving stochastic decision problems with value iteration.

76 0 0
dsagolla
nssvie

Numerical solution of stochastic Volterra integral equations via a stochastic operational matrix based on block pulse functions.

55 0 0
metno
wxgen

Weather generator software

42 26 7
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