There are 7 repositories under stochastic topic.
Generate realizations of stochastic processes in python.
๐น Simple HTML Snippets to create Tickers / Charts of Cryptocurrencies with the TradingView API ๐น
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
๐บ A Dashboard with the price movements of Cryptocurrencies ๐น
Stochastic Adversarial Video Prediction
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
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)
๐น Forex charts with the USD price movements of currencies ๐น
๐ Gold/Silver ratio metal charts with the USD/CHF price movements of Gold/Silver ๐
stochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance.
Numerically solve the Fokker-Planck equation in N dimensions
Scripts for using on Binary.com Bots.
Official implementation of the paper Stochastic Latent Residual Video Prediction
: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
๐จ๐ญ Swiss Leader Index SLI charts with the CHF/USD price movements of top stocks ๐น
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
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
User Manual (Documentation Guide) for Stochastic Weather Generator v2.0
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!
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
A population based stochastic algorithm for finding the minimum value in a function.
Differential equation problem specifications and scientific machine learning for common financial models
Projects are developed for implementing the knowledge gained in the courses studied at World Quant University and meeting the requirement of clearing the courses.
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Python code for solving partial differential equations (PDEs) using deep learning. Specifically, we provide implementations for solving the following PDEs
The SBML Test Suite is a conformance testing system. It allows developers and users to test the degree and correctness of the SBML support provided in a software package.