Markov Chains GitHub Repositories

CellRank: dynamics from multi-view single-cell data

LexRank algorithm for text summarization

Applied Probability Theory for Everyone

Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis

JAX Framework for Parameterized Stochastic Circuits (PSCs) and Directed Factor Graphs (DFGs) of Kernels

A software package for algebraic, geometric and combinatorial problems on linear spaces. By R. Hemmecke, R. Hemmecke, M. Köppe, P. Malkin, M. Walter

No repository description provided.

Pure Python 2.7 implementation of solving Absorbing Markov Chains (no dependencies)

🤖 Quantum-powered excuse generator for developers. Blame bugs on cosmic rays, AI sentience, or Schrödinger’s intern.

:chains: 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

Auto generate text using Markov models.

Cosmological parameter estimation with the MCMC Hammer, please use https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer, this repository is outdated ! Docs at http://cosmo-docs.phys.ethz.ch/cosmoHammer/

Material del curso 'Técnicas Estocásticas de IA'. Cubre modelos de predicción, clasificación y procesos estocásticos.

Markov Decision Processes in Python

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.

The current VB6 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).

Markify is an open source command line application written in python which scrapes data from your social media accounts and utilises markov chains to generate new sentences based on the scraped data

Various text/word generation methods implemented in Unity.

Fast, accurate taxonomic assignments for the human vaginal microbiota

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).

Legitimate text goes in, plausible gibberish comes out.

A personal view of the attribution analysis using Markov models.

Markov nonsense generated from D&D 5e Monster Manual and Pride and Prejudice

Implementation of Transition Path Theory for studying transitions and tipping in stationary, periodically varying, as well as finite-time Markov chains.

No repository description provided.

Markov Chain overview and their implementations in Finance

Data driven multi-touch attribution modeling with Markov chains

Marketing Channel Attribution with Markov Chains in Python

Telegram bot that builds and uses a Markov chain for each user in a group