shap 开源项目推荐（4,930 个）

shap /shap

一种解释任何机器学习模型输出的博弈论方法。

MAIF /shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

oegedijk /explainerdashboard

快速构建可解释 AI 仪表板，展示所谓“黑盒”机器学习模型的内部运作。

mmschlk /shapiq

Shapley Values and Shapley Interactions for Machine Learning

cerlymarco /shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

linkedin /FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

jiangnanboy /learning_to_rank

利用lightgbm做（learning to rank）排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。使用LightGBM学习排名，包括数据处理、模型训练、模型决策可视化、模型可解释性和预测等。

predict-idlab /powershap

A power-full Shapley feature selection method.

feedzai /timeshap

TimeSHAP explains Recurrent Neural Network predictions.

tvdboom /ATOM

Automated Tool for Optimized Modelling

AstraZeneca /awesome-shapley-value

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

ing-bank /probatus

SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.

ModelOriented /shapviz

SHAP Plots in R

ModelOriented /survex

Explainable Machine Learning in Survival Analysis

ModelOriented /treeshap

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

MI2DataLab /survshap

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

snehankekre /streamlit-shap

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

nredell /ShapML.jl

A Julia package for interpretable machine learning with stochastic Shapley values

dylan-slack /Fooling-LIME-SHAP

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

nredell /shapFlex

An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model