interpretable-machine-learning topic

Information Bottlenecks for Attribution

BioroboticsLab

Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020

pbiecek

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

atulshanbhag

Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems

SinaMohseni

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...

12wang3

a tool for comparing the predictions of any text classifiers

Crisp-Unimib

Repo for Tang et al, bioRxiv 454793 (2018)

keiserlab

An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

rachtibat

Quantified Sleep: Machine learning techniques for observational n-of-1 studies.

gianlucatruda

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

navdeep-G