CellRank: dynamics from multi-view single-cell data
-
Updated
Feb 17, 2025 - Python
CellRank: dynamics from multi-view single-cell data
LexRank algorithm for text summarization
Pure Python 2.7 implementation of solving Absorbing Markov Chains (no dependencies)
⛓️ Python package which provides you a simple way to generate phrases using Markov chains.
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estimation with the MCMC Hammer, please use https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer, this repository is outdated !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/
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
Implementation of Transition Path Theory for studying transitions and tipping in stationary, periodically varying, as well as finite-time Markov chains.
Markov nonsense generated from D&D 5e Monster Manual and Pride and Prejudice
Data driven multi-touch attribution modeling with Markov chains
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
Haiku generator -- generates a haiku poem from an image!
A suite of codes for performing discrete time Markov chain random walks with neuromorphic hardware and simulators.
A bot that generates phrases with Markov chains based on subreddit comments, applies them to images and then posts it onTwitter
A simple implementation of markov chaining and stochastic processes applied to text analysis and natural language, written as an extra-curricular school project, in Python and C++
Generate look-a-like tweets from Russian Troll Tweets using Markovify
Evolutionary algorithms for promoter architecture design. A repository for my undergraduate thesis.
A twitter bot which predicts donald trumps next potential tweet
Add a description, image, and links to the markov-chains topic page so that developers can more easily learn about it.
To associate your repository with the markov-chains topic, visit your repo's landing page and select "manage topics."