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12 search results found

Fasttreeshap ⭐ 485

Fast SHAP value computation for interpreting tree-based models

Explainable Machine Learning in Survival Analysis

Treeshap ⭐ 72

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Survshap ⭐ 65

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Awesome Shapley Value ⭐ 63

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

R package for SHAP plots

Xplainable ⭐ 48

Real-time explainable machine learning for business optimisation

Kernelshap ⭐ 28

Efficient R implementation of SHAP

Modeling Uncertainty Local Explainability ⭐ 16

Local explanations with uncertainty 💐!

Explainableml Vision ⭐ 14

This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.

Python package providing a minimal implementation of the SHAP algorithm using the Kernel method

Counterfactual SHAP: a framework for counterfactual feature importance

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