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crflynn
stochastic

Generate realizations of stochastic processes in python.

25K 504 91
GAIA-UNIL
g2s

A flexible MPS framework

13K 45 11
dancixx
stochastic-rs

stochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance.

12K 153 7
Aschii85
sde-sim-rs

Powerful and flexible SDE simulation library with Rust-accelerated Monte-Carlo

11K 2 0
EMOD-Hub
emod-malaria

Source files for building the IDM EMOD disease transmission model.

4K 105 52
SURGroup
uqpy

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

3K 352 97
EMOD-Hub
emod-hiv

Source files for building the IDM EMOD disease transmission model.

3K 105 52
EMOD-Hub
emod-common

Source files for building the IDM EMOD disease transmission model.

2K 105 52
xurendong
derivx

Derivatives Pricing Engine

1K 20 4
Melvin-klein
algosto

Algosto implements stochastic algorithms.

658 0 0
deepansh-saxena
duralang

Write normal LangChain code. Get Temporal durability. One decorator.

607 17 2
JulioCesarMS
stochasticprocesses

A package to simulate stochastic processes

458 0 0
vadmbertr
pastax

Parameterizable Auto-differentiable Simulators of ocean Trajectories in jAX.

408 2 1
verificarlo
significantdigits

Solid stochastic statistic analysis of Stochastic Arithmetic

376 4 3
griano
epistoch

Epidemics Models with Random Infectious Period

326 1 1
Heuro-labs
pyssa

Python package for stochastic simulations

295 18 2
LRydin
kramersmoyal

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

262 76 13
Jacks0nJ
pyfpt

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

258 10 1
aresio
procell

Stochastic simulation of cell populations proliferation

211 0 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.

204 7 4
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.

189 22 5
timpauli
yamm

yet another markov module

171 1 0
Heuro-labs
cayenne

Python package for stochastic simulations

116 18 2
eonof
upgrade-policy-optimizer

A Python library for solving finite Markov Decision Processes using value iteration

112 0 0
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