Generates Markov Chained-text from a file, a subreddit or a redditor.
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Updated
Mar 18, 2017 - Python
Generates Markov Chained-text from a file, a subreddit or a redditor.
A simple markov chain implementation acting on text to produce structurally similar nonsense.
Here I upload my code solutions written for university or some competitions
A library for handling markov chains
Marketing Channel Attribution using Markov Model
Udacity Natural Language Nanodegree Project 1 - Implementation of Hidden Markov Models for Part of Speech Tagging, that is dividing sentences into the various English speech tagging, such as Nouns, Verbs etc.
RL models from base.
Reinforcement learning algorithm that blends the N-th order Markov property with abstract MDPs, PPO, and a hybrid model-free/model-based approach.
A bot that uses Markov chains to generate messages based on those sent to the conversation
A Markov chain based text generation library, inspired by COBE
Method of approximation for variable elimination implemented in python
generating headlines via markov from fake news
a twitter bot that pitches awful games
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