jphall663 / awesome-machine-learning-interpretability

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 20, 2020

Trusted-AI / AIF360

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Port micellaneous items to sklearn-compatible API

3

hoffmansc commented Feb 23, 2020

MEPS dataset
differential fairness metrics
rich subgroup fairness

fairlearn / fairlearn

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Documentation - argument types

3

riedgar-ms commented Jan 22, 2020

Our documentation:
https://fairlearn.readthedocs.io/en/latest/index.html
does not consistently provide links to definitions of Estimators (which should come from sklearn), numpy.ndarray and pandas. These should be remedied.

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

adebayoj / fairml

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toolbox fairness prediction-model auditing-predictive-models discrimination model-criticism

Updated Oct 4, 2018
Python

dssg / aequitas

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Bias and Fairness Audit Toolkit

bias fairness machine-bias fairness-testing

Updated Aug 19, 2020
Python

mbilalzafar / fair-classification

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Python code for training fair logistic regression classifiers.

machine-learning fairness discrimination

Updated Feb 14, 2018
Python

Hackathonners / vania

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A module which fairly distributes a list of arbitrary objects among a set of targets, considering weights.

distribution task programming module model linear fairness

Updated Jun 20, 2017
Python

datamllab / awesome-fairness-in-ai

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A curated list of awesome Fairness in AI resources

machine-learning ai deep-learning bias fairness interpretability adversarial-learning xai gender-bias fairness-packages prediction-outcome-discrimination

Updated Jul 3, 2020

cosmicBboy / themis-ml

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A library that implements fairness-aware machine learning algorithms

machine-learning-algorithms transparency fairness accountability discrimination ethics social-bias

Updated Jul 31, 2018
Jupyter Notebook

laura-rieger / deep-explanation-penalization

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Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584