Projects in Awesome Lists tagged with machine-learning-interpretability

A curated list of projects in awesome lists tagged with machine-learning-interpretability .

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https://github.com/jphall663/interpretable_machine_learning_with_python

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

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

Last synced: 16 May 2025

https://github.com/h2oai/mli-resources

H2O.ai Machine Learning Interpretability Resources

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

Last synced: 05 Apr 2025

https://github.com/explainx/explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

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

Last synced: 16 May 2025

https://github.com/explainX/explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

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

Last synced: 04 Apr 2025

https://github.com/jphall663/diabetes_use_case

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

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

Last synced: 19 Jul 2025

https://github.com/jphall663/hc_ml

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

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

Last synced: 27 Jan 2026

https://github.com/navdeep-g/interpretable-ml

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

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

Last synced: 12 Mar 2026

https://github.com/h2oai/article-information-2019

Article for Special Edition of Information: Machine Learning with Python

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

Last synced: 07 Apr 2025

https://github.com/jphall663/jsm_2018_paper

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

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

Last synced: 04 Aug 2025

https://github.com/poloclub/telegam

TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning

data-visualization machine-learning machine-learning-interpretability

Last synced: 08 Mar 2026

https://github.com/hayesall/bn-rule-extraction

Rule Extraction from Bayesian Networks

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

Last synced: 18 Aug 2025

https://github.com/vanderschaarlab/invase

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.

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

Last synced: 28 Apr 2025