There are 5 repositories under information-bottleneck topic.
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
Pytorch implementation of Deep Variational Information Bottleneck
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
Pytorch Implementation of the Nonlinear Information Bottleneck
Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022
Code for "Attentive Variational Information Bottleneck for TCR-peptide Interaction Prediction", Grazioli et al., Bioinformatics 2022
Project for the Large Scale Optimization course at Skoltech
Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)
A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs among Complexity, Leakage, and Utility
Information bottleneck's (IB) principle applied to categorical data clustering.
A Python implementation of the Information Bottleneck analysis framework (Tishby, Pereira, Bialek 2000), especially geared towards the analysis of concrete, finite-size data sets. **GitHub mirror**: development happens at https://gitlab.com/epiasini/embo
Package for information-theoretic data analysis
Information Bottleneck as Optimisation Method for SSVEP-Based BCI
Modeled discriminative prior problem learning privacy-utility trade-off Private Information Bottleneck un-supervised
PyTorch & OpenMM implementations of deep-learning based approaches for learning and biasing reaction coordinates in molecular simulations.
This repository contains opensource codes for sparsity inducing approaches in deep information bottleneck models.