Statistical analysis and visualization of state transition phenomena

• UpdatedDec 17, 2024
• Python

C++ header-only library for the full family of Xoshiro/Xoroshiro random number generators

• UpdatedAug 28, 2025
• C++

Share Market Prediction App using Markov Chains Model

• UpdatedJun 13, 2017
• PHP

Continuous Time Markov Chain

• UpdatedSep 27, 2019
• Jupyter Notebook

Application of Markov Chain in Finance

• UpdatedJun 29, 2021
• Jupyter Notebook

Scripts supporting the Open Risk Academy course Analysis of Credit Migration using Python TransitionMatrix

• UpdatedSep 29, 2023
• Python

Predictions with Markov Chains is a JS application that multiplies a probability vector with a transition matrix multiple times (n steps - user defined). On each step, the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over n steps.

• UpdatedMar 21, 2022
• HTML

A Markov-chain based supermarket simulation.

• UpdatedJun 22, 2022
• Jupyter Notebook

This application makes predictions by multiplying a probability vector with a transition matrix multiple times (n steps - user defined). On each step the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over a number of steps.

• UpdatedNov 17, 2022
• Visual Basic 6.0

We have 4 different display advertising campaigns. We would like to evaluate how effective each advertising campaign is in generating sales

• UpdatedJun 27, 2024
• Jupyter Notebook

This application uses a transition matrix to make predictions by using a Markov chain. For exemplification, the values from the transition matrix represent the transition probabilities between two states found in a sequence of observations.

• UpdatedNov 17, 2022
• Visual Basic 6.0

The Markov Chains - Simulation framework is a Markov Chain Generator that uses probability values from a transition matrix to generate strings. At each step the new string is analyzed and the letter frequencies are computed. These frequencies are displayed as signals on a graph at each step in order to capture the overall behavior of the MCG.

• UpdatedNov 17, 2022
• Visual Basic 6.0

The current JS application is a detector that uses observation sequences to construct the transition matrices for two models, which are merged into a single log-likelihood matrix (LLM). A scanner can use this LLM to search for regions of interest inside a longer sequence called z (the target).

• UpdatedMar 21, 2022
• HTML

NPM package to easily create and use Markov chains

• UpdatedFeb 11, 2022
• JavaScript

The transition matrix of a Markov chain is a square matrix that describes the probability of transitioning from one state to another.

• UpdatedMar 4, 2023
• C++

Experimenting with the transition state matrix approach to credit default modeling.

• UpdatedJun 9, 2017
• R

WeatherChance is an open-source application that can predict whether the tomorrows weather of particular queried location/city will be good or bad. Good weather is essentially defined as sunny and less cloudly and bad weather is defined as rainy, snowy etc.

• UpdatedJan 19, 2024
• TypeScript

Transition system and state machine generic classes can be instantiated with any enumeration types representing the sets of states and the input and output alphabets

• UpdatedFeb 3, 2025
• C#

Simulates the movement of players around the board for a game of US Standard 2008 Edition Monopoly, using a Markov process, in order to model the likelihood of landing on each tile.

• UpdatedMay 24, 2019
• Python

Reinforcement Learning Using Q-learning, Double Q-learning, and Dyna-Q.

• UpdatedOct 27, 2021
• Python