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binarydata_highorderinteractions_greedyalgo

This algorithm performs a greedy search to find the most relevant patterns of binary data. Uncovered patterns can be of any order.

birdsgdetect

chirps

data_predictive

Data predictive maintenance from Kaggle

jylls.github.io

mcsp_annealing

mincompspin

Contains a code that performs an exhaustive search for the best Minimally Complex Spin Model on a given basis

mincompspin_greedy

mincompspin_simulatedannealing

Simulated annealing algorithm for detecting community structure in binary data

modelselection_montecarlo_subcompletespinmodels

This Monte Carlo simulation finds the best sub-complete model with m independent variables in a system of n random variables (with n > m). For this purpose, it travels through the class of equivalence of these models by performing gauge transformations on the dataset and selects the model with the largest maximum log-likelihood.

networkx

Network Analysis in Python

neural_gui_tkinter

nudas

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

spinmodels

Set of basic programs to generate data and fit data with spin models with high order interactions.

synses

teki_code

teki_code_alux

Teki code Alux

test_binder

test binder

tmpnb

Creates temporary Jupyter Notebook servers using Docker containers.

tuningcurvecd