interpretml / interpret

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Open

Interpret

wh3nd1g0h commented Jul 29, 2020

Yes

jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome machine learning interpretability resources.

python data-science machine-learning data-mining awesome r awesome-list transparency fairness accountability interpretability interpretable-deep-learning interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated Aug 19, 2020

ModelOriented / DALEX

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moDel Agnostic Language for Exploration and eXplanation

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

Updated Aug 18, 2020
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.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

Updated Aug 11, 2020
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

python data-science machine-learning data-mining h2o xgboost transparency jupyter-notebooks fairness accountability interpretability interpretable-ai interpretable-ml explainable-ml mli xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated May 22, 2020
Jupyter Notebook

ModelOriented / modelStudio

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📍 Interactive Studio for Explanatory Model Analysis

machine-learning predictive-modeling interactive-visualizations interpretability explainable-artificial-intelligence explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml explainability explanatory-model-analysis explainable-machine-learning

Updated Aug 17, 2020
R

pbiecek / breakDown

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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 Aug 4, 2020
R

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

Updated Aug 21, 2019
R

jphall663 / diabetes_use_case

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Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

python data-science machine-learning data-mining healthcare xgboost transparency interpretability interpretable-ml explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability

Updated Sep 7, 2018
Jupyter Notebook

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 Aug 18, 2020
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 Jul 10, 2020
Julia

ModelOriented / rSAFE

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Surrogate Assisted Feature Extraction in R

machine-learning feature-extraction feature-engineering interpretability xai iml

Updated Jul 1, 2020
R

jphall663 / hc_ml

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Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

data-science machine-learning data-mining transparency fairness accountability interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated Nov 19, 2019
TeX

hbaniecki / awesome-adversarial-interpretable-machine-learning

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💡 A curated list of awesome adversarial interpretable machine learning resources

list machine-learning awesome awesome-list interpretability adversarial-learning adversarial-machine-learning adversarial-examples explainable-artificial-intelligence adversarial-attacks interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning iml adversarial-defense

Updated Jul 30, 2020

ModelOriented / ArenaR

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Data generator for Arena - interactive XAI dashboard

ema interpretability xai iml explainability explanatory-model-analysis axplainable-artificial-intelligence interactive-xai

Updated Aug 17, 2020
R

viadee / anchorsOnR

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Implementation of the Anchors algorithm: Explain black-box ML models

rules machine-learning r anchors explainable-ai xai iml

Updated Nov 21, 2019
R

navdeep-G / interpretable-ml

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Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

python data-science machine-learning data-mining gradient-boosting-machine transparency decision-trees fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

Updated Jul 15, 2020
Jupyter Notebook

ModelOriented / vivo

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Variable importance via oscillations

variable-importance explainable-artificial-intelligence explainable-ai explainable-ml xai interpretable-machine-learning iml

Updated Jul 27, 2020
R

h2oai / article-information-2019

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Article for Special Edition of Information: Machine Learning with Python

python data-science machine-learning interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml fairness-testing interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated May 6, 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

jphall663 / jsm_2018_paper

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Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539

python data-science machine-learning data-mining transparency interpretability interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated Dec 7, 2018
TeX

MI2DataLab / modelDown_example

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examples for modelDown, package that turns model into HTML pages

xai iml dalex modelvis

Updated Mar 17, 2019

12wang3 / mllp

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The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml

Updated Feb 19, 2020
Python

ModelOriented / Arena

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Interactive XAI dashboard

explainable-artificial-intelligence xai iml explanatory-model-analysis model-arena

Updated Aug 18, 2020
Vue

gabrielcrepeault / xgbmr

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Micro-reserve model using XGBoost

r shiny xgboost mlr claims-reserving iml xgbmr

Updated Dec 21, 2019
R

ModelOriented / DALEX2

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Explain! Package with core wrappers for DrWhy universe.

xai iml drwhy

Updated Jan 8, 2019
R

iamwildtuna / iml-sdk

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SDK для работы с API IML delivery (api.iml.ru)

api sdk api-client iml iml-sdk iml-api iml-delivery

Updated Apr 5, 2020
PHP

pbiecek / explainFIFA20

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Show case for modelStudio based on ⚽

⚽

⚽FIFA 20 ⚽

⚽

machine-learning xai predictive-modelling iml fifa20

Updated Jul 12, 2020
HTML

rafaelglikis / drcaptcha

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DrCaptcha is an interactive machine learning application. The purpose of the program is to the feedback provided by users, and to use it to optimize a machine learning model. The purpose of this model is to recognize handwritten letters and numbers.

machine-learning django tensorflow keras ml cnn neural-networks ensemble-learning convolutional-neural-networks ensemble-model keras-tensorflow ensemble-classifier interactive-machine-learning ensemble-machine-learning iml

Updated Jun 5, 2020
Python

iml

Here are 33 public repositories matching this topic...

interpretml / interpret

Interpret

jphall663 / awesome-machine-learning-interpretability

ModelOriented / DALEX

jphall663 / interpretable_machine_learning_with_python

h2oai / mli-resources

ModelOriented / modelStudio

pbiecek / breakDown

ModelOriented / iBreakDown

ModelOriented / live

jphall663 / diabetes_use_case

rehmanzafar / xai-iml-sota

nredell / ShapML.jl

ModelOriented / rSAFE

jphall663 / hc_ml

hbaniecki / awesome-adversarial-interpretable-machine-learning

ModelOriented / ArenaR

viadee / anchorsOnR

navdeep-G / interpretable-ml

ModelOriented / vivo

h2oai / article-information-2019

nredell / shapFlex

jphall663 / jsm_2018_paper

MI2DataLab / modelDown_example

12wang3 / mllp

ModelOriented / Arena

gabrielcrepeault / xgbmr

ModelOriented / DALEX2

iamwildtuna / iml-sdk

pbiecek / explainFIFA20

rafaelglikis / drcaptcha

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