shap

There are 7 repositories under shap topic.

shap / shap
A game theoretic approach to explain the output of any machine learning model.
deep-learning explainability gradient-boosting interpretability machine-learning shap shapley
Language:Jupyter Notebook 21615
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble tuning-algorithm models-tuning hyper-parameters decision-tree shap automated-machine-learning
Language:Python 2931
MAIF / shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
ethical-artificial-intelligence explainability explainable-ml interpretability lime machine-learning python shap transparency
Language:Jupyter Notebook 2644
oegedijk / explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
dash shap-values dashboard model-predictions data-scientists explainer interactive-dashboards permutation-importances shap plotly inner-workings interactive-plots xai-library xai
Language:Python 2228
cerlymarco / shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
feature-selection hyperparameter-optimization lightgbm model-selection parameter-tuning shap xgboost
Language:Jupyter Notebook 532
linkedin / FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost
Language:Python 492
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。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.
lightgbm learning-to-rank python shap
Language:Python 245
predict-idlab / powershap
A power-full Shapley feature selection method.
feature-selection machine-learning data-science shap
Language:Python 176
tvdboom / ATOM
Automated Tool for Optimized Modelling
machine-learning data-pipeline modelling data-exploration data-science python visualization automl dagshub interactive-visualizations mlflow model-predictions scikit-learn shap
Language:HTML 144
feedzai / timeshap
TimeSHAP explains Recurrent Neural Network predictions.
explainability shap shapley-values rnn
Language:Jupyter Notebook 143
awesome-shapley-value
AstraZeneca / awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
artificial-intelligence deep-learning machine-learning shapley shapley-additive-explanations shapley-value xai data-science explainability explainable lime shap explainable-ai explainable-artificial-intelligence explainable-ml shapley-decomposition shapley-q-value owen-value
131
ing-bank / probatus
Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
machine-learning data-science tree-model data-analysis statistics shap feature-elimination binary-classifiers multi-class-classification recursive-feature-elimination regressors
Language:Python 122
survex
ModelOriented / survex
Explainable Machine Learning in Survival Analysis
biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai
Language:R 89
ShapML.jl
nredell / ShapML.jl
A Julia package for interpretable machine learning with stochastic Shapley values
shap shapley-value iml interpretable-machine-learning feature-importance julia stochastic-shapley-values shapley
Language:Julia 79
ModelOriented / treeshap
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
explainability explainable-ai explainable-artificial-intelligence explanatory-model-analysis iml interpretability interpretable-machine-learning machine-learning responsible-ml shap shapley-value xai
Language:R 75
snehankekre / streamlit-shap
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
streamlit shap machine-learning explainability interpretability shapley streamlit-component
Language:Python 73
MI2DataLab / survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
variable-importance biostatistics brier-scores cox-model cox-regression explainable-ai probabilistic-machine-learning shap survival-analysis time-to-event explainable interpretable machine learning cph model censored survival machinelearning xai
Language:Jupyter Notebook 71
shapFlex
nredell / shapFlex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
shapley shapley-value ensemble machine-learning package r feature-importance shapley-values iml interpretable-machine-learning r-package shap causality causal-inference causal-networks
Language:R 70
Fooling-LIME-SHAP
dylan-slack / Fooling-LIME-SHAP
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
adversarial-attacks lime shap interpretability machine-learning explanations post-hoc-explanation paper fool-lime
Language:Jupyter Notebook 69
ModelOriented / shapviz
R package for SHAP plots
explainable-ai machine-learning rstats shap shapley-value visualization xai
Language:R 65
xplainable / xplainable
Real-time explainable machine learning for business optimisation
auto-ml data-analytics data-science explainable-ai explainable-ml machine-learning machine-learning-algorithms predictions python shap statistics xai xplainable prediction
Language:Python 52
shap-clustering
AidanCooper / shap-clustering
How to use SHAP values for better cluster analysis
clustering shap
Language:Jupyter Notebook 47
TannerGilbert / Model-Interpretation
Overview of different model interpretability libraries.
model-interpretation model-interpretability shap lime captum tf-explain
Language:Jupyter Notebook 37
shap-analysis-guide
AidanCooper / shap-analysis-guide
How to Interpret SHAP Analyses: A Non-Technical Guide
shap tutorial data-science machine-learning
Language:Jupyter Notebook 34
dylan-slack / Modeling-Uncertainty-Local-Explainability
Local explanations with uncertainty 💐!
deep-learning explainability explainable-ai explanation lime machine-learning neural-network neurips-2021 shap uncertainty uncertainty-quantification
Language:Python 34
ModelOriented / kernelshap
Efficient R implementation of SHAP
explainable-ai interpretability machine-learning rstats shap xai interpretable-machine-learning
Language:R 30
marvinbuss / ExplainableML-Vision
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.
hymenoptera-dataset shap notebook explainable-ml explainable-ai explainable-deepneuralnetwork pytorch lime cam class-activation-maps machine-learning transfer-learning data-science
Language:Jupyter Notebook 25
GeoAIR-lab / XAI-tool4GEE
A Colab notebook for land cover mapping and monitoring using Earth Engine
gee geemap ipywidgets lulc shap xai python
Language:Jupyter Notebook 24
ds-wook / ai-hackathon
🏆데이콘 AI해커톤 대회 우수상 솔루션🏆
dacon machine-learning deep-learning stacking-ensemble xgboost catboost shap automl
Language:Python 21
EnbinYang / tb_prediction_files
A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation
infectious-diseases lstm machine-learning shap tuberculosis
Language:Python 21
Explainability_for_Photonics
Raman-Lab-UCLA / Explainability_for_Photonics
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.0c01067
shap nanophotonics convolutional-neural-networks explainability
Language:Python 18
PrashantSaikia / Dynamic-SHAP-Plots
Enabling interactive plotting of the visualizations from the SHAP project.
machine-learning interpretability interpretable-machine-learning interpretable-deep-learning deep-learning shap data-visualization plotly interactive-visualizations visualization visualization-tools visualization-library plotly-analytics-projects
Language:Python 17
Menara-App-Predict-House-Price-CA
akthammomani / Menara-App-Predict-House-Price-CA
Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area
machine-learning python neural-network sklearn time-series haversine-formula haversine-distance supervised-learning unsupervised-learning streamlit aws-ec2 eli5 lime shap deep-learning
Language:Jupyter Notebook 15
keras_boston_housing_price
rodrigobressan / keras_boston_housing_price
Keras 101: A simple Neural Network for House Pricing regression
keras boston-housing-price-prediction shap model-explanation jupyter-notebook
Language:Jupyter Notebook 15
chaitjo / working-women
Code for the paper 'Working Women and Caste in India' (ICLR 2019 AI for Social Good Workshop)
gradient-boosting machine-learning shap interpretability social-good india caste women
Language:Jupyter Notebook 14
JK-Future-GitHub / NBA_Champion
I will predict the 2023 NBA Champion using Machine Learning
machine-learning nba nba-data powerbi shap
Language:Jupyter Notebook 13

shap

shap / shap

mljar / mljar-supervised

MAIF / shapash

oegedijk / explainerdashboard

cerlymarco / shap-hypetune

linkedin / FastTreeSHAP

jiangnanboy / learning_to_rank

predict-idlab / powershap

tvdboom / ATOM

feedzai / timeshap

AstraZeneca / awesome-shapley-value

ing-bank / probatus

ModelOriented / survex

nredell / ShapML.jl

ModelOriented / treeshap

snehankekre / streamlit-shap

MI2DataLab / survshap

nredell / shapFlex

dylan-slack / Fooling-LIME-SHAP

ModelOriented / shapviz

xplainable / xplainable

AidanCooper / shap-clustering

TannerGilbert / Model-Interpretation

AidanCooper / shap-analysis-guide

dylan-slack / Modeling-Uncertainty-Local-Explainability

ModelOriented / kernelshap

marvinbuss / ExplainableML-Vision

GeoAIR-lab / XAI-tool4GEE

ds-wook / ai-hackathon

EnbinYang / tb_prediction_files

Raman-Lab-UCLA / Explainability_for_Photonics

PrashantSaikia / Dynamic-SHAP-Plots

akthammomani / Menara-App-Predict-House-Price-CA

rodrigobressan / keras_boston_housing_price

chaitjo / working-women

JK-Future-GitHub / NBA_Champion