information-theory

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Python package for information theory.

Multi-level network clustering based on the Map Equation

Non-parametric Entropy Estimation Toolbox

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

Interpretable data visualizations for understanding how texts differ at the word level

📚Сборник русскоязычной информации по Flutter

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

😎 📜 Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets.

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

Information Theory and Distance Quantification with R

Uncertainty and causal emergence in complex networks

[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

The HSIC Bottleneck: Deep Learning without Back-Propagation

Adaptive and automatic gradient boosting computations.

A Coq formalization of information theory and linear error-correcting codes