Generate realizations of stochastic processes in python.

💹 Simple HTML Snippets to create Tickers / Charts of Cryptocurrencies with the TradingView API 💹

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

📺 A Dashboard with the price movements of Cryptocurrencies 💹

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

Stochastic Adversarial Video Prediction

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

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)

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

🌕 Gold/Silver ratio metal charts with the USD/CHF price movements of Gold/Silver 🌑

💹 Forex charts with the USD price movements of currencies 💹

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

Tickers with random jitter

Scripts for using on Binary.com Bots.

:rocket: 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

Official implementation of the paper Stochastic Latent Residual Video Prediction

🇨🇭 Swiss Leader Index SLI charts with the CHF/USD price movements of top stocks 💹

This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).

Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes

A flexible MPS framework

Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

User Manual (Documentation Guide) for Stochastic Weather Generator v2.0

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

SLAMP: Stochastic Latent Appearance and Motion Prediction

This project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correction, feedback, and support are more than welcome!

Differential equation problem specifications and scientific machine learning for common financial models

A population based stochastic algorithm for finding the minimum value in a function.