JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
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Updated
Nov 4, 2024 - Java
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
Algorithms for quantifying associations, independence testing and causal inference from data.
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
R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test
Diffeomorphic Information Neural Estimation (DINE) - AAAI 2023
Python routines to compute conditional mutual information
C++ Implementation of entropy measures
An Offline Metric for the Debiasedness of Click Models
Code for the Conditional Mutual Information-Debiasing (CMID) method.
CMIMN: Conditional Mutual Information for constructing Microbiome Network
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