There are 3 repositories under transfer-entropy topic.
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.
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
Algorithms for detecting associations, dynamical influences and causal inference from data.
A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
Code for the paper "Estimating Transfer Entropy via Copula Entropy"
Python Implementation of Transfer Entropy Method
Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy
Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"
Transfer entropy (conditional mutual information) estimators for the Julia language
My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.
A suite of MATLAB/C and C++ tools for computing standard and extended versions of Thomas Schreiber's transfer entropy on sparse, binary time series.
Calculation of Renye Transfer Entropy
Final group project of "Information Theory and Inference" course at University of Padova