EntroPy: complexity of time-series in Python (DEPRECATED)
Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems
MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows
Neural network that has been trained to detect temporal correlation and distinguish chaotic from stochastic signals
Machine learning model to forecast food security indicators using historical data and external factors like macroeconomics, market prices, weather, and conflicts.
A repository for calculation and analysis code of the Permutation Entropy and Statistical Complexity AnalYsis (PESCy)
Within-subject decoding of motor imagery / motor movement from pre-cue baseline activity using cross-like spatial PE, spatiotemporal PE, temporal PE, HV spatial PE, and a combined PE features model
Evaluation of permutation entropy of signals using Python software that save the output in 'csv' format and produce picture of entropy.
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