This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnon…

Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows

Calculation of the entropy of the batch of images (whole image or patches)

This application calculates the entropy of a string. The focus of this implementation is represented by a specialized function called "entropy" which receives a text sequence as a parameter and returns a value that represents the entropy. Entropy is a measure of the uncertainty in a random variable.

Application allows for ifnormation entropy analysis of 2D image data. Analysis outcome can be stored in No-SQL database and then recovered and plotted for better understanding of underlying data

C++ Implementation of entropy measures

The Information & Mutual Information Ratio For Counting Image Local Features and Their Matches

Recommendation System support Farmer to prevent The Blast Disease ( Type of Rice Disease )

Crypto implementations analysis toolkit

A package for studying how things change together.

Method to compute the probability of each motif type occurred in horizontal visibility graph

A MLP Neural Network based on Shannon's Entropy of Error as a cost function , for classification.Implemented in Python

Measuring the predictability of renewable generation

Use decision trees to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good" Data Description : Undergrad : person is under graduated or not Marital.Status : marital status of a person Taxable.Income : Taxable income is the amount of how much tax an individual owes to the government Work Ex…

Collection of statistical information about texts using finite context models and generation of automatic text

Implementation of a Clustering Algorithm based on Renyi's entropy of clusters, in R. A pptx presentation of the algorithm and results included.

Computing file entropy.

This is a project associated to Computational Geometry as is taught at Madrid's Complutense University by professor Robert Monjo, covering Information Theory matters such as data entropy and compression.

This R package is dedicated to estimate transfer entropy for a certain class of markov processes