markov-chains
There are 5 repositories under markov-chains topic.
- cellrankLanguage:Python 372
- Language:Python 231
DataForScience / Probability
Applied Probability Theory for Everyone
Language:Jupyter Notebook 116- Language:Jupyter Notebook 77
- marcLanguage:Swift 65
- Language:Python 44
4ti2 / 4ti2
A software package for algebraic, geometric and combinatorial problems on linear spaces. By R. Hemmecke, R. Hemmecke, M. Köppe, P. Malkin, M. Walter
Language:C++ 36mkutny / absorbing-markov-chains
Pure Python 2.7 implementation of solving Absorbing Markov Chains (no dependencies)
Language:Python 31jieggii / mc.py
:chains: Python package which provides you a simple way to generate phrases using Markov chains.
Language:Python 27danieljsharpe / DISCOTRESS
🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains
Language:C++ 25ashwinmj / word-prediction
Auto generate text using Markov models.
Language:Jupyter Notebook 24cosmo-ethz / CosmoHammer
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estimation with the MCMC Hammer, please use https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer, this repository is outdated !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/
Language:Python 17- Language:HTML 15
msr8 / markify
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
Language:Python 12p-svacha / ProceduralTextGeneration
Various text/word generation methods implemented in Unity.
Language:ASP.NET 11rickhull / loremarkov
Legitimate text goes in, plausible gibberish comes out.
Language:Ruby 10- Markov-Chains-detector-in-VB6
Gagniuc / Markov-Chains-detector-in-VB6
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).
Language:Visual Basic 6.0 8 - speciateIT
ravel-lab / speciateIT
Fast, accurate taxonomic assignments for the human vaginal microbiota
Language:eC 8 - Language:JavaScript 7
LuzieH / pytpt
Implementation of Transition Path Theory for studying transitions and tipping in stationary, periodically varying, as well as finite-time Markov chains.
Language:Python 7amajji / Markov-Chain
Markov Chain overview and their implementations in Finance
Language:Jupyter Notebook 6LindseyB / pride-prejudice-dungeons-dragons
Markov nonsense generated from D&D 5e Monster Manual and Pride and Prejudice
Language:Python 6ClockVapor / markov-telegram-bot
Telegram bot that builds and uses a Markov chain for each user in a group
Language:Kotlin 5- Markov-Chains-Prediction-framework
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.
Language:Visual Basic 6.0 5 quasar-chunawala / calculus_based_probability
Topics in Probability Theory and Stochastic Processes
Language:Jupyter Notebook 5- Markov-Chains-scanner
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).
Language:HTML 4 - universal-name-generator
hmlendea / universal-name-generator
Generate various kinds of names using Markov Chains and random mixers
Language:C# 4 kailin-lu / markovattribution
Data driven multi-touch attribution modeling with Markov chains
Language:Python 4mohan3d / marketing-channel-attribution
Marketing Channel Attribution with Markov Chains in Python
Language:HTML 4danielhanchen / Markovian_SIR_Deaths_Model
I noticed that traditional methods to predict a disease outbreak was by performing sentiment analysis on Twitter posts and Google Search terms. Unfortunately, these methods were inadequate, as Twitter and Google is not popular in all countries. So, I created a system to model and predict outbreaks without the need for social media. The system was able to update the probabilities of a virus from spreading from A to B in real time, and I plan to release it to the public next year. I also used Machine Learning and Deep Learning to predict larger long-term virus trends with Google Trends, and this acted as a validator for the MSIRD model.
Language:Jupyter Notebook 3emoen / stochasticProcessStat220
The course will consider Markov processes in discrete and continuous time. The theory is illustrated with examples from operation research, biology and economy.
Language:R 3hexagram30 / language
A syntagmata and Markov chain language, word, and name generator for use in hexagram30 narratives
kochlisGit / Reinforcement-Learning-Algorithms
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
Language:Python 3prcalopa / MarkovChainLooper
Max patch to generate midi patterns based on Markov Chains.
- Language:Python 3
sandialabs / Neural-Random-Walker
A suite of codes for performing discrete time Markov chain random walks with neuromorphic hardware and simulators.
Language:Python 2
