timelineTakes tweets from a bot's followings and markovifies them. Ruby port of sneaksnake/timeline
neworderA dynamic microsimulation framework for python
markov-discordA Markov chain Discord chat bot. Generates unique messages by learning from past messages. Also occasionally attaches images to messages.
Mathematical-ModelingA sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享:数学建模竞赛优秀论文,数学建模常用算法模型,LaTeX论文模板,SPSS工具分享。
comments-generatorA Reddit bot that generates new context-aware comments using Markov chains trained from a set of given users or subreddits comments history.
SimInfA framework for data-driven stochastic disease spread simulations
marcMarkov chain generator for Python and/or Swift
AALpyAn Active Automata Learning Library Written in Python
PyBorgFork of PyBorg AI bot for cutie578 on EFNet
markovipyYet another markov chain sentence generator
markovclickPython package to model clickstream data as a Markov chain. Inspired by R package clickstream.
Deep-Learning-Mahjong---Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
mchmmMarkov Chains and Hidden Markov Models in Python
insobotC99 modular IRC bot with markov chains
DISCOTRESS🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains
baysegAn unsupervised machine learning algorithm for the segmentation of spatial data sets.
MMCAcovid19.jlMicroscopic Markov Chain Approach to model the spreading of COVID-19
porn-description-generatorGenerates new porn descriptions based on an edited dataset of xhamster video descriptions uploaded between 2007-2016.
walrusЭто самый лучший женобот на этой планете // Нейросеть феминистка
TwitchMarkovChainTwitch Bot for generating messages based on what it learned from chat
presidential-rnnProject 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.
pypmcClustering with variational Bayes and population Monte Carlo