Simple python module implementation of shannon entropy
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Updated
Apr 5, 2017 - Python
Simple python module implementation of shannon entropy
This program checks if a code satisfies the prefix condition and tells us if it's instantaneously decodable
An AI for the game hangman which uses information theoretical metrics to determine the optimal letters to guess.
Analog and digital Communication - Information Theory - Message Probability & Entropy
CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.
Implementation of Information Dropout
Quantifying the average Hartley information quotient in language from Twitter
Python information theory computation
Calculating entropy of an image and of an book and comparing them.
A miscellaneous repository for anything having to do with computation in the context of Graph Theory
Using information theory to inform experimental design with GPU acceleration. Computing group project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
Analysis tools for Vertex Models of Epithelia, Path Entropy
Information theory and methods of data compression - PUT Poznań 2018
Code for Information Theory topics like huffman coding and entropy
Package for automating clustering (pipeline).
The Python code comes with 'James V Stone' book called "Information Theory: A Tutorial Introduction"
Basic study of information theoretic measures and stochastic processes.
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