A Julia package to analyze protein sequences, structures, and evolutionary information

Mutual information estimators and benchmark

"Simulations for the paper 'Deep Learning for Channel Coding via Neural Mutual Information Estimation' by Rick Fritschek, Rafael F. Schaefery, and Gerhard Wunder"

Algorithms for detecting associations, dynamical influences and causal inference from data.

Temporal Predictive Coding For Model-Based Planning In Latent Space (ICML-2021)

Predictive Coding for Locally-Linear Control (ICML-2020)

Signal Processing Toolkit, including ML models with visualization

This UROP project focuses on tumor disease detection using feature selection techniques like Mutual Information and Chi-Square Test. We implemented various machine learning algorithms, including Decision Trees, Random Forests, Logistic Regression, Naive Bayes, SVM, and KNN, to analyze their performance and improve detection accuracy.

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

A Python library for calculating and visualizing mutual information in neural networks. This repository includes methods to calculate mutual information using various techniques (binning, KDE, Kraskov) and tools to train neural networks and plot information plane dynamics.

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

Mutual Information-based Non-linear Clustering Analysis

Throughout this analysis, we will use various statistical approaches to visualize the relationship between the composition of of amygdala and acc levels in participants' brain and their political orientation: one and two dimensional histograms and kernel density estimator (KDE); scatter plots and line charts of the mean, variance, and skew based o

A curated paper list for information-theoretic representation learning.

A Julia package to estimate discrete entropy and mutual information

Information-theoretic social neuroscience analyses, particularly for hyperscanning paradigms

Various integrations to the Schrodinger ecosystem. With major interest on analysis tools for Molecular Dynamics simulations run with Desmond.

[IEEE CISS 2024, ICMLW 2023] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

The code for my project in a biomedical engineering course. It involves decoding motor responses of rats to tilting events using neural spike activity. Key components include organizing spike time data, creating perievent rasters and histograms, and developing a PSTH classifier enhanced with PCA.