A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

counterfactuals: An R package for Counterfactual Explanation Methods

SLISEMAP: Combining supervised dimensionality reduction with local explanations

Local Universal Rule-based Explanations

Generating global explanations from local ones

Robust regression algorithm that can be used for explaining black box models (Python implementation)

Robust regression algorithm that can be used for explaining black box models (R implementation)

Code for paper "XPROAX - Local explanations for text classification with progressive neighborhood approximation", DSAA 2021 (https://ieeexplore.ieee.org/abstract/document/9564153). Repository maintained by Yi Cai.

Interpreting Categorical Data Classifiers using Explanation-based Locality