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Multimodal explainability tool for NLP based on Shapley value.

Project description

📦 nlp-shap

Multimodal explainability for NLP and multimodal models based on Shapley-style cooperative game theory.

PyPI Python Documentation License

Installation

pip install nlp-shap

From source:

git clone https://github.com/Pawlo77/nlp-shap
cd nlp-shap
make install

Requires Python 3.12 and uv.

Documentation

Full documentation: pawlo77.github.io/nlp-shap

Examples

Runnable Jupyter notebooks in examples/:

Notebook What it demonstrates
estimands_toy_game.ipynb Shapley vs Banzhaf aggregators, coalition weights, labelled results, manifests, plugin entry points
masking_views.ipynb Token partitioning, absence policies, masked views, mask codec, mask space, plugin registry

Setup and details: examples/README.md. Embedded walkthroughs: docs/examples.

Development

make install
make check

Run make help for other targets.

License

Apache License 2.0. See LICENSE.

Copyright 2026 Paweł Pozorski.

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