24 results found Sort:

shap
shap shap
3.2k
22.0k
mit
241
A game theoretic approach to explain the output of any machine learning model.
shap shapley deep-learning explainability interpretability machine-learning gradient-boosting
Created 2016-11-22
2,682 commits to master branch, last one a day ago
mljar
mljar-supervised mljar
389
3.0k
mit
49
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
shap mljar automl xgboost catboost ensemble lightgbm data-science scikit-learn decision-tree models-tuning random-forest neural-network hyper-parameters machine-learning tuning-algorithm feature-engineering automated-machine-learning automatic-machine-learning hyperparameter-optimization
Created 2018-11-05
1,172 commits to master branch, last one 9 days ago
MAIF
shapash MAIF
326
2.7k
apache-2.0
36
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
lime shap python transparency explainability explainable-ml interpretability machine-learning ethical-artificial-intelligence
Created 2020-04-29
1,587 commits to master branch, last one about a month ago
oegedijk
explainerdashboard oegedijk
323
2.2k
mit
22
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
xai dash shap plotly dashboard explainer shap-values xai-library inner-workings data-scientists interactive-plots model-predictions interactive-dashboards permutation-importances
Created 2019-10-30
1,372 commits to master branch, last one 2 months ago
cerlymarco
shap-hypetune cerlymarco
71
543
mit
7
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
shap xgboost lightgbm model-selection parameter-tuning feature-selection hyperparameter-optimization
Created 2021-05-16
30 commits to main branch, last one 3 months ago
linkedin
FastTreeSHAP linkedin
30
498
bsd-2-clause
7
Fast SHAP value computation for interpreting tree-based models
shap xgboost lightgbm random-forest explainable-ai interpretability machine-learning
Created 2022-01-24
40 commits to master branch, last one 11 months ago
jiangnanboy
learning_to_rank jiangnanboy
72
247
unknown
2
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 pre...
shap python lightgbm learning-to-rank
Created 2019-11-10
20 commits to master branch, last one about a year ago
predict-idlab
powershap predict-idlab
18
182
other
3
A power-full Shapley feature selection method.
shap data-science machine-learning feature-selection
Created 2022-03-16
176 commits to main branch, last one about a month ago
tvdboom
ATOM tvdboom
14
147
mit
4
Automated Tool for Optimized Modelling
shap automl mlflow python dagshub modelling data-science scikit-learn data-pipeline visualization data-exploration machine-learning model-predictions interactive-visualizations
Created 2019-07-03
951 commits to master branch, last one 3 months ago
feedzai
timeshap feedzai
28
145
other
13
TimeSHAP explains Recurrent Neural Network predictions.
rnn shap explainability shapley-values
Created 2022-01-10
53 commits to main branch, last one 5 months ago
AstraZeneca
awesome-shapley-value AstraZeneca
10
134
apache-2.0
2
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
xai lime shap shapley owen-value explainable data-science deep-learning shapley-value explainability explainable-ai explainable-ml shapley-q-value machine-learning shapley-decomposition artificial-intelligence shapley-additive-explanations explainable-artificial-intelligence
Created 2022-04-29
87 commits to master branch, last one about a year ago
ing-bank
probatus ing-bank
39
123
mit
8
Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
shap regressors statistics tree-model data-science data-analysis machine-learning binary-classifiers feature-elimination multi-class-classification recursive-feature-elimination
Created 2020-11-09
1,190 commits to main branch, last one about a month ago
ModelOriented
survex ModelOriented
10
92
gpl-3.0
7
Explainable Machine Learning in Survival Analysis
r xai shap cox-model r-package brier-scores biostatistics censored-data time-to-event cox-regression explainable-ai explainable-ml interpretable-ml machine-learning survival-analysis variable-importance explanatory-model-analysis explainable-machine-learning interpretable-machine-learning probabilistic-machine-learning
Created 2022-08-31
479 commits to main branch, last one about a month ago
nredell
ShapML.jl nredell
7
81
mit
4
A Julia package for interpretable machine learning with stochastic Shapley values
iml shap julia shapley shapley-value feature-importance stochastic-shapley-values interpretable-machine-learning
Created 2020-01-23
118 commits to master branch, last one 2 years ago
ModelOriented
treeshap ModelOriented
22
76
gpl-3.0
14
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
iml xai shap shapley-value explainability explainable-ai responsible-ml interpretability machine-learning explanatory-model-analysis interpretable-machine-learning explainable-artificial-intelligence
Created 2020-07-30
232 commits to master branch, last one 4 months ago
MI2DataLab
survshap MI2DataLab
14
75
mit
6
SurvSHAP(t): Time-dependent explanations of machine learning survival models
cph xai shap model machine censored learning survival cox-model explainable brier-scores biostatistics interpretable time-to-event cox-regression explainable-ai machinelearning survival-analysis variable-importance probabilistic-machine-learning
Created 2022-08-03
92 commits to main branch, last one 5 months ago
snehankekre
streamlit-shap snehankekre
7
75
mit
4
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
shap shapley streamlit explainability interpretability machine-learning streamlit-component
Created 2022-01-31
21 commits to main branch, last one 2 years ago
dylan-slack
Fooling-LIME-SHAP dylan-slack
16
71
mit
3
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
lime shap paper fool-lime explanations interpretability machine-learning adversarial-attacks post-hoc-explanation
Created 2019-11-09
94 commits to master branch, last one 3 years ago
ModelOriented
shapviz ModelOriented
10
67
gpl-2.0
5
R package for SHAP plots
xai shap rstats shapley-value visualization explainable-ai machine-learning
Created 2020-10-10
393 commits to main branch, last one 4 months ago
xplainable
xplainable xplainable
6
54
agpl-3.0
3
Real-time explainable machine learning for business optimisation
xai shap python auto-ml prediction statistics xplainable predictions data-science data-analytics explainable-ai explainable-ml machine-learning machine-learning-algorithms
Created 2022-09-22
501 commits to main branch, last one 27 days ago
AidanCooper
shap-clustering AidanCooper
4
50
mit
3
How to use SHAP values for better cluster analysis
shap clustering
Created 2022-05-05
12 commits to main branch, last one 2 years ago
AidanCooper
shap-analysis-guide AidanCooper
6
37
mit
3
How to Interpret SHAP Analyses: A Non-Technical Guide
shap tutorial data-science machine-learning
Created 2021-09-24
9 commits to main branch, last one 2 years ago
dylan-slack
Modeling-Uncertainty-Local-Explainability dylan-slack
13
36
mit
2
Local explanations with uncertainty 💐!
lime shap explanation uncertainty neurips-2021 deep-learning explainability explainable-ai neural-network machine-learning uncertainty-quantification
Created 2021-10-19
7 commits to main branch, last one about a year ago
ModelOriented
kernelshap ModelOriented
7
33
gpl-2.0
3
Efficient R implementation of SHAP
xai shap rstats explainable-ai interpretability machine-learning interpretable-machine-learning
Created 2022-08-05
337 commits to main branch, last one 13 days ago