An AI for the game hangman which uses information theoretical metrics to determine the optimal letters to guess.
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Updated
Apr 19, 2017 - Python
An AI for the game hangman which uses information theoretical metrics to determine the optimal letters to guess.
Laboratory exercise for Information Theory @ FER
a python project on information theory and supervised learning
An exploration of Approximate Entropy
THOI: An efficient library for higher order interactions analysis based on Gaussian copulas enhanced by batch-processing
Analysis tools for Vertex Models of Epithelia, Path Entropy
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.
PyTorch implementation of variational entropy-constrained vector quantization.
Direct ITR optimisation for SSVEP-based BCI
Simple python module implementation of shannon entropy
Visualize matrix decomposition of toy co-occurrence data
A package for studying how things change together.
Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".
Information Bottleneck as Optimisation Method for SSVEP-Based BCI
Basic study of information theoretic measures and stochastic processes.
Python information theory computation
Implementation of Solver (and user-playable game!) for games such as Mastermind. Based on ideas of Information Theory
Solving the game Wordle using information-theoretical measures and analyzing performance to other solvers
[Telecommunications] A Python package for cyclic redundancy check (CRC) using polynomial long division in GF(2).
4th semester IDP
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