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machine-learning-interpretability

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Here are 21 public repositories matching this topic...

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jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome responsible machine learning resources.

Updated Jun 3, 2026

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 Jun 17, 2024
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

Updated Dec 12, 2020
Jupyter Notebook

explainX / explainx

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Explain & debug any blackbox machine learning model with a single line of code.

machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx

Updated Jul 13, 2026
Python

DiegoUsaiUK / Propensity_Modelling

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Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

data-mining business-intelligence model-selection behaviour likelihood optimisation exploratory-analysis insight business-analytics marketing-campaigns machine-learning-interpretability propensity-modelling

Updated Dec 30, 2022
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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 Jun 17, 2024
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SDM-TIB / InterpretME

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An interpretable machine learning pipeline over knowledge graphs

knowledge-graph ontologies shacl interpretability machine-learning-models machine-learning-interpretability

Updated Apr 30, 2025
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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

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 Mar 10, 2024
Python

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 Feb 2, 2026
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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 Jan 8, 2025
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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
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poloclub / telegam

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TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning

machine-learning data-visualization machine-learning-interpretability

Updated Aug 11, 2019
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INVASE: Instance-wise Variable Selection . For more details, read the paper "INVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019.

machine-learning machine-learning-algorithms pytorch interpretability xai machine-learning-interpretability

Updated Aug 30, 2022
Python

hayesall / bn-rule-extraction

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Rule Extraction from Bayesian Networks

machine-learning bayesian-network interpretability rule-extraction machine-learning-interpretability trustworthy-ai

Updated Jan 4, 2022
Python

akifcinar / Machine_Learning_Interpretability

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Overview of machine learning interpretation techniques and their implementations

python data-science machine-learning transparency interpretation interpretability model-interpretation interpretable-ai interpretable-ml mli xai interpretable-machine-learning machine-learning-interpretability interpretable-classifcation

Updated Jan 5, 2021
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nilsdenter / novelty_value_ml

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This project contains the data, code and results used in the paper title "On the relationship of novelty and value in digitalization patents: A machine learning approach".