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Search results for python shap
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20 search results found
Mljar Supervised
⭐
2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Shapash
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2,547
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Explainerdashboard
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2,118
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Learning_to_rank
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184
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.
Powershap
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153
A power-full Shapley feature selection method.
Atom
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137
Automated Tool for Optimized Modelling
Probatus
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110
Validation of classifiers and data used to develop them
Xplainable
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48
Real-time explainable machine learning for business optimisation
Ai Hackathon
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18
🏆데이콘 AI해커톤 대회 우수상 솔루션🏆
Modeling Uncertainty Local Explainability
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16
Local explanations with uncertainty 💐!
Xai Tool4gee
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16
A Colab notebook for land cover mapping and monitoring using Earth Engine
Sotai
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12
Streamlit Shap
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10
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
Shapobjectdetection
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8
SHAP-Based Interpretable Object Detection Method for Satellite Imagery
Masters Chance Of Admit
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7
A website that provides analytics on how different features contribute to your chances of getting into a university of your choice.
Aix360 Introduction
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6
Introduction to explaining data and machine learning models with aif360
Xper
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5
A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.
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
Dynamic Shap Plots
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5
Enabling interactive plotting of the visualizations from the SHAP project.
Explainability_for_photonics
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5
Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Reference: https://pubs.acs.org/doi/full/10.1021/acsphotonics
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