markov-chains
There are 111 repositories under markov-chains topic.
theislab/cellrank
CellRank: dynamics from multi-view single-cell data
crabcamp/lexrank
LexRank algorithm for text summarization
DataForScience/Probability
Applied Probability Theory for Everyone
pysal/giddy
Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis
maxhumber/marc
Markov chain generator for Python and/or Swift
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
mkutny/absorbing-markov-chains
Pure Python 2.7 implementation of solving Absorbing Markov Chains (no dependencies)
jieggii/mc.py
:chains: Python package which provides you a simple way to generate phrases using Markov chains.
danieljsharpe/DISCOTRESS
🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains
ashwinmj/word-prediction
Auto generate text using Markov models.
cosmo-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estimation with the MCMC Hammer, please use https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer, this repository is outdated !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/
rldotai/mdpy
Markov Decision Processes in Python
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
p-svacha/ProceduralTextGeneration
Various text/word generation methods implemented in Unity.
rickhull/loremarkov
Legitimate text goes in, plausible gibberish comes out.
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).
deltorobarba/sciences
Natural Sciences and Maths
ravel-lab/speciateIT
Fast, accurate taxonomic assignments for the human vaginal microbiota
amajji/Markov-Chain
Markov Chain overview and their implementations in Finance
LindseyB/pride-prejudice-dungeons-dragons
Markov nonsense generated from D&D 5e Monster Manual and Pride and Prejudice
LuzieH/pytpt
Implementation of Transition Path Theory for studying transitions and tipping in stationary, periodically varying, as well as finite-time Markov chains.
ClockVapor/markov-telegram-bot
Telegram bot that builds and uses a Markov chain for each user in a group
Gagniuc/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.
quantinsights/calculus_based_probability
Topics in Probability Theory and Stochastic Processes
Gagniuc/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).
hmlendea/universal-name-generator
Generate various kinds of names using Markov Chains and random mixers
kailin-lu/markovattribution
Data driven multi-touch attribution modeling with Markov chains
mohan3d/marketing-channel-attribution
Marketing Channel Attribution with Markov Chains in Python
danielhanchen/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.
emoen/stochasticProcessStat220
The course will consider Markov processes in discrete and continuous time. The theory is illustrated with examples from operation research, biology and economy.
hexagram30/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.
prcalopa/MarkovChainLooper
Max patch to generate midi patterns based on Markov Chains.
robu3/haikoo
Haiku generator -- generates a haiku poem from an image!