Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)

PyTorch implementation of the estimator proposed in the paper "Estimating Differential Entropy under Gaussian Convolutions"

Statistical Learning based Estimation of Mutual Information. R CRAN package.

An Independence Test based on Data-Driven Tree-Structured Representations.

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

Implementation and Analysis of Information Bottleneck Theory of Deep Learning

Python code for the paper "Telescoping Density-Ratio Estimation", NeurIPS 2020

Final project for the Deep Learning course @ UniVR

Entropy and Mutual Information Estimation

Implement Mutual Information Neural Estimator with TensorFlow 2