shap

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。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

python lightgbm learning-to-rank shap

Updated Sep 11, 2022
Python

predict-idlab / powershap

Star

A power-full Shapley feature selection method.

data-science machine-learning feature-selection shap

Updated Aug 17, 2022
Python

feedzai / timeshap

Star

TimeSHAP explains Recurrent Neural Network predictions.

rnn shap explainability shapley-values

Updated Aug 12, 2022
Jupyter Notebook

AstraZeneca / awesome-shapley-value

Star

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

data-science machine-learning deep-learning artificial-intelligence lime explainable-artificial-intelligence explainable-ai explainable-ml xai shapley shap explainability shapley-decomposition explainable shapley-value shapley-q-value shapley-additive-explanations owen-value

Updated Aug 8, 2022

ing-bank / probatus

Star

Validation of binary classifiers and data used to develop them

data-science machine-learning statistics data-analysis tree-model binary-classification shap feature-elimination

Updated Aug 31, 2022
Python

nredell / ShapML.jl

Star

A Julia package for interpretable machine learning with stochastic Shapley values

julia feature-importance shapley interpretable-machine-learning iml shap shapley-value stochastic-shapley-values

Updated Feb 21, 2022
Julia

dylan-slack / Fooling-LIME-SHAP

Star

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

machine-learning paper lime interpretability adversarial-attacks explanations shap post-hoc-explanation fool-lime

Updated Sep 30, 2022
Jupyter Notebook

nredell / shapFlex

Star

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

package machine-learning r ensemble r-package causality causal-inference feature-importance causal-networks shapley interpretable-machine-learning iml shap shapley-value shapley-values

Updated Jun 9, 2020
R

ModelOriented / survex

Star

Explainable Machine Learning in Survival Analysis

machine-learning variable-importance biostatistics survival-analysis r-package cox-regression cox-model time-to-event censored-data interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning brier-scores shap explanatory-model-analysis probabilistic-machine-learning explainable-machine-learning

Updated Sep 28, 2022
R

snehankekre / streamlit-shap

Star

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

machine-learning interpretability shapley shap explainability streamlit streamlit-component

Updated Jul 21, 2022
Python

TannerGilbert / Model-Interpretation

Sponsor

Star

Overview of different model interpretability libraries.

lime model-interpretation shap model-interpretability captum tf-explain

Updated Jul 2, 2022
Jupyter Notebook

ds-wook / ai-hackathon

Star

🏆데이콘 AI해커톤 대회 우수상 솔루션🏆

machine-learning deep-learning xgboost automl catboost shap dacon stacking-ensemble

Updated May 19, 2022
Python

dylan-slack / Modeling-Uncertainty-Local-Explainability

Star

Local explanations with uncertainty 💐!

machine-learning deep-learning neural-network uncertainty explanation uncertainty-quantification lime explainable-ai shap explainability neurips-2021

Updated Aug 25, 2022
Python

marvinbuss / ExplainableML-Vision

Sponsor

Star

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.