LexRank algorithm for text summarization
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Updated
Apr 14, 2024 - Python
LexRank algorithm for text summarization
CellRank: dynamics from multi-view single-cell data
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estimation with the MCMC Hammer, please use https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer, this repository is outdated !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/
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.
Markov nonsense generated from D&D 5e Monster Manual and Pride and Prejudice
Data driven multi-touch attribution modeling with Markov chains
Generate look-a-like tweets from Russian Troll Tweets using Markovify
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.
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++
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Auto generate tweets powered by pre-trained GPT2 based large language model (LLM) available offline.
Sample Python Program, trained using Markov Chains to generate random sentences based on start word
Evolutionary algorithms for promoter architecture design. A repository for my undergraduate thesis.
A bot that generates phrases with Markov chains based on subreddit comments, applies them to images and then posts it onTwitter
A twitter bot which predicts donald trumps next potential tweet
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