iml

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Here are 47 public repositories matching this topic...

interpretml / interpret

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Fit interpretable models. Explain blackbox machine learning.

Updated Mar 20, 2023
C++

jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome machine learning interpretability resources.

Updated Mar 10, 2023

ModelOriented / DALEX

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moDel Agnostic Language for Exploration and eXplanation

black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis

Updated Mar 10, 2023
Python

jphall663 / interpretable_machine_learning_with_python

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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Updated Feb 27, 2023
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

Updated Dec 12, 2020
Jupyter Notebook

ModelOriented / modelStudio

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📍 Interactive Studio for Explanatory Model Analysis

visualization learning r ai interactive model machine human interactivity interpretability explainable-ai xai model-visualization interpretable interpretable-machine-learning iml explainable explanatory-model-analysis explainable-machine-learning

Updated Feb 21, 2023
R

hbaniecki / adversarial-explainable-ai

Sponsor

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💡 Adversarial attacks on explanations and how to defend them

Updated Mar 16, 2023

pbiecek / breakDown

Sponsor

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Model Agnostics breakDown plots

data-science machine-learning interpretability xai visual-explanations iml

Updated Apr 4, 2020
R

ModelOriented / iBreakDown

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Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)

breakdown interpretability xai shapley iml

Updated Jan 15, 2023
R

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 Feb 21, 2022
Julia

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

12wang3 / rrl

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The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification".

scalability representation-learning nips interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability neurips interpretable-classification rule-based-model neuro-symbolic-ai

Updated Feb 9, 2022
Python

rehmanzafar / xai-iml-sota

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Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

machine-learning human-in-the-loop interpretability explainable-artificial-intelligence researchers interactive-machine-learning deep-learning-visualization human-in-the-loop-machine-learning explainable-ml xai interpretable interpretable-machine-learning iml model-interpretability explainable interpretable-models explainable-models interpretable-learning explaining-ai explanation-methods

Updated Sep 29, 2022
R

automl / DeepCAVE

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An interactive framework to visualize and analyze your AutoML process in real-time.

visualization real-time analysis interactive hyperparameters automl sampling-bias iml hyperparameter-importance

Updated Mar 2, 2023
Python

ModelOriented / live

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Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

machine-learning lime interpretability xai model-visualization visual-explanations iml