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Search results for machine learning shap
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28 search results found
Shap
⭐
22,028
A game theoretic approach to explain the output of any machine learning model.
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Shapash
⭐
2,547
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Fasttreeshap
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485
Fast SHAP value computation for interpreting tree-based models
Powershap
⭐
153
A power-full Shapley feature selection method.
Atom
⭐
137
Automated Tool for Optimized Modelling
Probatus
⭐
110
Validation of classifiers and data used to develop them
Survex
⭐
79
Explainable Machine Learning in Survival Analysis
Treeshap
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72
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Survshap
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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)
Shapviz
⭐
57
R package for SHAP plots
Xplainable
⭐
48
Real-time explainable machine learning for business optimisation
Fooling Lime Shap
⭐
47
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Kernelshap
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28
Efficient R implementation of SHAP
Ai Hackathon
⭐
18
🏆데이콘 AI해커톤 대회 우수상 솔루션🏆
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.
Sotai
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12
Working Women
⭐
11
Code for the paper 'Working Women and Caste in India' (ICLR 2019 AI for Social Good Workshop)
Streamlit Shap
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10
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
Masters Chance Of Admit
⭐
7
A website that provides analytics on how different features contribute to your chances of getting into a university of your choice.
Shapley
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6
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
Tinyshap
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6
Python package providing a minimal implementation of the SHAP algorithm using the Kernel method
Cf Shap
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5
Counterfactual SHAP: a framework for counterfactual feature importance
Dynamic Shap Plots
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5
Enabling interactive plotting of the visualizations from the SHAP project.
Streamlit Shap Explorer
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5
A Streamlit Web Application that predicts the genre of a song, interactively explores the corresponding SHAP values and locally explains a CatBoost Multi Classification model
Shapflex
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5
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Xper
⭐
5
A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.
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