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https://github.com/so-cool/blimey

Jupyter notebooks to reproduce various bLIMEy experiments
https://github.com/so-cool/blimey

machine-learning surrogate-explanations transparency xai

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Jupyter notebooks to reproduce various bLIMEy experiments

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# build LIME yourself (bLIMEy) #

This repository contains Jupyter Notebooks that can be used to reproduce
experiments included in various manuscripts discussing surrogate explanations
of black-box predictions (bLIMEy). The list of manuscripts is enclosed below.

## bLIMEy: Surrogate Prediction Explanations Beyond LIME ##

* The manuscript is available [here][blimey].
* The code is available in the [`HCML_2019` directory][hcml19].

[blimey]: https://arxiv.org/abs/1910.13016
[hcml19]: https://github.com/So-Cool/bLIMEy/tree/master/HCML_2019

## Interpretable Representations in Explainable AI: From Theory to Practice ##

* The manuscript is available [here][ir].
* The code is available in the [`DAMI_2024` directory][dami24].

[ir]: https://doi.org/10.1007/s10618-024-01010-5
[dami24]: https://github.com/So-Cool/bLIMEy/tree/master/DAMI_2024

## LIMEtree: Consistent and Faithful Surrogate Explanations of Multiple Classes ##

* The manuscript is available [here][limetree].
* The code is available in the [`ELECTRONICS_2025` directory][electronics].

[limetree]: https://doi.org/10.3390/electronics14050929
[electronics]: https://github.com/So-Cool/bLIMEy/tree/master/ELECTRONICS_2025