There are 9 repositories under information-theory topic.
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
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 This reference implementation has been superseded by other versions below.
😎 📜 Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets.
Interpretable data visualizations for understanding how texts differ at the word level
📚Сборник русскоязычной информации по Flutter
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)
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
Information Theory and Distance Quantification with R
An open-source toolkit for entropic data analysis.
The HSIC Bottleneck: Deep Learning without Back-Propagation
A Coq formalization of information theory and linear error-correcting codes
A toolkit to boost the productivity of machine learning engineers.
Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data
Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning
Improving generalization by controlling label-noise information in neural network weights.
Implementation of Information Dropout