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JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
Created
2015-07-23
920 commits to master branch, last one 2 months ago
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.
Created
2015-07-16
992 commits to master branch, last one 5 months ago
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...
copula
python
entropy
causality
changepoint
correlation
copula-entropy
normality-test
two-sample-test
causal-discovery
change-detection
transfer-entropy
granger-causality
hypothesis-testing
information-theory
mutual-information
variable-selection
change-point-detection
conditional-independence-test
conditional-mutual-information
Created
2020-03-30
95 commits to master branch, last one about a month ago
Algorithms for detecting associations, dynamical influences and causal inference from data.
Created
2018-05-30
326 commits to main branch, last one 8 months ago
A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
Created
2019-11-27
72 commits to master branch, last one 25 days ago