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

Foundational papers for the Symmetrical Convergence (SymC) framework. Establishes χ ≈ 1 as a universal stability boundary governing quantum-classical transitions, parameter emergence, and adaptive system behavior. The theoretical core from which all domain-specific applications derive.

Notes prepared for the final exam (2015) of the Information Theory And Coding class of EPFL's Computer Science Masters. (Instructor Emre Telatar)

My answers to homework for an Information Theory course at Queen's University (MTHE 474), written in LaTeX.

Report for B.Tech. Project, Information Theoretic Error Bounds on NISQ Learning Systems.

Additional exercises from the course Informatie-overdracht en -verwerking (2nd year Computer Science @ KU Leuven Kulak) and their full solutions. Everything was typed out in LaTeX and the end solutions are correct.

Pytorch implementation of paper Overfitting control with Inverse Cross-Entropy (ICE) loss function

Kelechi Ikegwu's 2021 Dissertation

A study of the information theory and machine learning paradigms applied in the brain.

Trabalho de teoria da informação sobre seleção de atributos com informação mútua.

Italian notes for the course of "Computer Science Theory", LateX, A.A. 2020/2021 for MSc's in Computer Science.

TeX files and source code for my ISIT 2017 submission. See the readme below for the full version of the paper.

This repository contains all materials related to my Bachelor Thesis, including the presentation, explanatory note, source code, and etc.

A structured way of finding the best threshold with a given tradeoff between false positive and negative predictions in a binary setting