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18 search results found
Awesome Machine Learning Interpretability
⭐
3,241
A curated list of awesome responsible machine learning resources.
Xai_resources
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634
Interesting resources related to XAI (Explainable Artificial Intelligence)
Modelstudio
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305
📍 Interactive Studio for Explanatory Model Analysis
Fastshap
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96
Fast approximate Shapley values in R
Survex
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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
Xai Iml Sota
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50
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Xaiaterum2020
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49
Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
Kernelshap
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28
Efficient R implementation of SHAP
Flashlight
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20
Machine learning explanations
Vivo
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13
Variable importance via oscillations
Bcf Iv
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12
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
Causalglm
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11
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Cinday Rug Iml 2018
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9
Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R
Slise
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5
Robust regression algorithm that can be used for explaining black box models (R implementation)
Networkcausaltree
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5
Package for heterogeneous treatment and spillover effects under network interference
Distillml
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5
An R package providing functions for interpreting and distilling machine learning models
Shapflex
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5
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
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1-18 of 18 search results
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