MATLAB implementation of all the Operations Research algorithms and problems solved by me.

⛓️ Python package which provides you a simple way to generate phrases using Markov chains.

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

A package for temporal point process modeling, simulation and inference

ChainoPy: A Python Library for Discrete Time Markov Chain based stochastic analysis

🔁 Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other processes, exact (when possible) and approximate computations

Learn to get started using DISCOTRESS with these tutorials! Then apply to your own Markov chains in ecology 🦜🌴 economics 💸📈 biophysics 🧬🦠 and more!

Fast R implementation of Gillespie's Stochastic Simulation Algorithm

Kalman Filter algorithm simulation with Markov process for state estimation.

Random word generation using Random Markov Processes

Gevo (Graph EVOlution) - Python implentation of Markov process simulations on model graphs.

String generator based on Markov process

Python code for posterior sampling of a semi-Markov Jump Process

An Open Source Tool for Analyzing Discrete Markov Chains.

A Graph Dynamical Neural Network Approach for Decoding Dynamical States in Ferroelectrics.

Real-world Markov Process Simulation using Divvy Bike Data (GBFS), demonstrating SAS-to-Python migration for operational analytics and forecasting.

This is a toolbox to analyze and interpret whole brain imaging data. It attempts to implement the NC-MCM framework in an easy access Python package. It was created in the process of a MasterThesis.

a spark version of probability suffix tree based on markov process

Implementation of a Denoising Diffusion Probabilistic Model with some mathematical background.

A book about Markov processes