Generate realizations of stochastic processes in python.
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Updated
Dec 9, 2022 - Python
Generate realizations of stochastic processes in python.
Stochastic Adversarial Video Prediction
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
๐น Simple HTML Snippets to create Tickers / Charts of Cryptocurrencies with the TradingView API ๐น
๐บ A Dashboard with the price movements of the selected Cryptocurrencies ๐น
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)
Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
Source files for building the IDM EMOD disease transmission model.
Numerically solve the Fokker-Planck equation in N dimensions
Official implementation of the paper Stochastic Latent Residual Video Prediction
Scripts for using on Binary.com Bots.
๐ A library designed to facilitate work with probability, statistics and stochastic calculus
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
This repository contains the source code for โUnscented Kalman filter stochastic nonlinear model predictive controlโ (UKF-SNMPC).
Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
๐น Forex charts with the USD price movements of the selected currencies ๐น
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