shap

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Here are 43 public repositories matching this topic...

slundberg / shap

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A game theoretic approach to explain the output of any machine learning model.

machine-learning deep-learning gradient-boosting interpretability shapley shap explainability

Updated Jul 20, 2020
Jupyter Notebook

oegedijk / explainerdashboard

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explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.

dashboard plotly dash data-scientists model-predictions interactive-plots interactive-dashboards xai inner-workings shap explainer xai-library shap-values permutation-importances

Updated Jul 16, 2020
Jupyter Notebook

nredell / ShapML.jl

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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 Jul 10, 2020
Julia

dylan-slack / Fooling-LIME-SHAP

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

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

Updated Jun 12, 2020
Jupyter Notebook

chaitjo / working-women

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Code for the paper 'Working Women and Caste in India' (ICLR 2019 AI for Social Good Workshop)

machine-learning women india social-good gradient-boosting interpretability shap caste

Updated Feb 12, 2020
Jupyter Notebook

nredell / shapFlex

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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

PrashantSaikia / Dynamic-SHAP-Plots

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Enabling interactive plotting of the visualizations from the SHAP project.

visualization machine-learning deep-learning plotly data-visualization visualization-library interactive-visualizations interpretability visualization-tools interpretable-deep-learning plotly-analytics-projects interpretable-machine-learning shap

Updated Jan 15, 2020
Python

rodrigobressan / keras_boston_housing_price

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Keras 101: A simple Neural Network for House Pricing regression

keras jupyter-notebook boston-housing-price-prediction model-explanation shap

Updated Oct 8, 2019
Jupyter Notebook

BBloggsbott / masters-chance-of-admit

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A website that provides analytics on how different features contribute to your chances of getting into a university of your choice.

python html machine-learning shap

Updated Oct 26, 2019
HTML

rezacsedu / OncoNetExplainer

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OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data

cnn cancer-genomics feature-importance gradcam gradient-boosted-trees shap cancer-type-prediction

Updated Apr 27, 2020
Jupyter Notebook

takumiw / Deep-Learning-for-Human-Activity-Recognition

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The task of human activity recognition (HAR) is implemented by using smartphones sensor dataset and LightBGM, CNN, and LSTM.

machine-learning deep-learning keras classification lightgbm human-activity-recognition convolutional-neural-network smartphone-sensor-data shap

Updated Jun 2, 2020
Jupyter Notebook

viniaraujoo / deepinterpretability

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Interpretability of Image Keras Models

machine-learning deep-learning keras lime keras-tensorflow interpretability xai shap

Updated Oct 27, 2019
Python

amod99 / Shap_Demo

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Demo of shapely values for interpreting decision tree model

regression xgboost shapely shap

Updated Dec 25, 2019
Jupyter Notebook

chengning-zhang / Simple-TAN-and-Ensemble-TAN

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Bayesian network implementation API inspired by SciKit-learn.

scikit-learn bayesian-network shap ensemble-tan

Updated Apr 8, 2020
Jupyter Notebook

bipinkc19 / explaining-black-boxes

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Explaining complex ML models

nlp prediction lime vizualisation shap explaining-black-boxes

Updated Sep 16, 2019
Jupyter Notebook

dainst / wordpress-storytelling

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Wordpress Plugin to embed (epigraphic) Content into posts by just pasting URLs

wordpress wordpress-plugin shap

Updated Feb 15, 2019
XSLT

XiaoqiMa / shapSD

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Explain variable influence in black-box model through pattern mining

pattern-mining explainable-ai shap

Updated Dec 9, 2019
Python

yoonslab / omelet

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AutoML + XAI + mlflow

data h2o profiling automl xai mlflow shap

Updated May 21, 2020
HTML

nataberishvili / nataberishvili.github.io

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python science data dplyr h2o datascience randomforest machinelearning loan-default-prediction medicare-data binaryclassification shap exploratorydataanalysis berishvili ggplo2

Updated May 22, 2020

tommartensen / tic

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TIC is a library that acts as a Toolbox for Interpretability Comparison.

lime interpretability shap complexity-faithfulness-graph

Updated Oct 10, 2019
Python

TmLev / interpretable-ml

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Article on the interpretability of ML models

machine-learning dash lime shap

Updated Jun 25, 2020
Python

AChepurnoi / cnn-interpretability

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Responsible datascience final project

neural-network cnn convolutional-neural-networks backpropagation lime gradcam shap

Updated May 19, 2019
Jupyter Notebook

thadaJ / autoInsight

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Library for displaying insight of data automatically

xgboost shap

Updated Nov 20, 2019
Jupyter Notebook

McGill-MMA-EnterpriseAnalytics / datasectuals

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Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign

modeling prescriptive-analytics predictive-analytics pandas-profiling automl shap marketing-campaign