An open-source toolkit for entropic data analysis.
Code and data for On the Predictability of Infectious Disease Outbreaks by SV Scarpino & G Petri
Notes from an introductory course on information theory
A learning module on Information Theory
Notes prepared for the final exam (2015) of the Information Theory And Coding class of EPFL's Computer Science Masters. (Instructor Emre Telatar)
Report for B.Tech. Project, Information Theoretic Error Bounds on NISQ Learning Systems.
My answers to homework for an Information Theory course at Queen's University (MTHE 474), written in LaTeX.
This repository contains all materials related to my Bachelor Thesis, including the presentation, explanatory note, source code, and etc.
Pytorch implementation of paper Overfitting control with Inverse Cross-Entropy (ICE) loss function
Trabalho de teoria da informação sobre seleção de atributos com informação mútua.
A study of the information theory and machine learning paradigms applied in the brain.
Kelechi Ikegwu's 2021 Dissertation
A structured way of finding the best threshold with a given tradeoff between false positive and negative predictions in a binary setting
TeX files and source code for my ISIT 2017 submission. See the readme below for the full version of the paper.
Italian notes for the course of "Computer Science Theory", LateX, A.A. 2020/2021 for MSc's in Computer Science.
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