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

Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.

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

Information 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

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.

C++ Implementation of entropy measures

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

Crypto implementations analysis toolkit

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

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

A package for studying how things change together.

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…

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

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.

Proiect Arhitectura Sistemelor de Calcul (ASC) Anul 1, Semestrul 1, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

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

This project detects abnormal events in surveillance videos (e.g., theft, vandalism) using deep learning. It extracts spatiotemporal features with C3D and classifies them with an LSTM-based neural network. The system is optimized for binary classification (normal vs anomaly).