R package for simulating, estimating, and modeling with Markov chains
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Updated
Apr 17, 2022 - R
R package for simulating, estimating, and modeling with Markov chains
This is a collection of scripts and functions that serve as exercises for understanding and writing various numerical methods from scratch.
Exercises and experiments with Bayesian statistics and markov chains.
Section 14 of a tentative book on Markov chains with detailed analysis of eigenvalues of Markov chains of random walks.
Telegram bot that builds Markov chains for subreddits
Section 12 of a tentative book on Markov chains with examples of application of Gibbs sampling
A Java-based Markov-Chain text generator
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++
Creating a Twitter Bot using Dan Shiffman's tutorial and scraped data from NYUAD Confessions and C&C using BS4 and Selenium Webdriver. Fed the results into an RNN model to generate "confessions"
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
String generator based on Markov process
An Open Source Tool for Analyzing Discrete Markov Chains.
Max patch to generate midi patterns based on Markov Chains.
Section 2 of tentative book on theory and examples of Markov Chains
Sample Python Program, trained using Markov Chains to generate random sentences based on start word
Section 3 of a tentative book on theory and examples of Markov Chains
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