Projects in Awesome Lists tagged with fairness

https://github.com/trusted-ai/aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

ai artificial-intelligence bias bias-correction bias-detection bias-finder bias-reduction codait deep-learning discrimination fairness fairness-ai fairness-awareness-model fairness-testing ibm-research ibm-research-ai machine-learning python r trusted-ai

Last synced: 30 Sep 2024

https://github.com/IBM/AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

ai artificial-intelligence bias bias-correction bias-detection bias-finder bias-reduction codait deep-learning discrimination fairness fairness-ai fairness-awareness-model fairness-testing ibm-research ibm-research-ai machine-learning python r trusted-ai

Last synced: 28 Aug 2024

https://github.com/Trusted-AI/AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

ai artificial-intelligence bias bias-correction bias-detection bias-finder bias-reduction codait deep-learning discrimination fairness fairness-ai fairness-awareness-model fairness-testing ibm-research ibm-research-ai machine-learning python r trusted-ai

Last synced: 31 Jul 2024

https://github.com/fairlearn/fairlearn

A Python package to assess and improve fairness of machine learning models.

ai ai-systems artificial-intelligence fairness fairness-ai fairness-assessment fairness-ml group-fairness harms machine-learning responsible-ai unfairness-mitigation

Last synced: 27 Sep 2024

https://github.com/modeloriented/dalex

moDel Agnostic Language for Exploration and eXplanation

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

Last synced: 30 Sep 2024

https://modeloriented.github.io/DALEX/

moDel Agnostic Language for Exploration and eXplanation

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

Last synced: 04 Aug 2024

https://github.com/ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

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

Last synced: 30 Jul 2024

https://github.com/microsoft/responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

data-analysis data-science data-visualization error-analysis explainability explainable-ai explainable-ml fairness fairness-ai fairness-ml interpretability jupyter machine-learning machinelearning ml responsible-ai ui visualization widget widgets

Last synced: 27 Sep 2024

https://github.com/gnolang/gno

Gno: An interpreted, stack-based Go virtual machine to build succinct and composable apps + Gno.land: a blockchain for timeless code and fair open-source

bft blockchain composability concurrency cosmos fairness gno gnoland gnolang gnovm golang interpreter proof-of-contribution smart-contracts tendermint tendermint2 truth-discovery virtual-machine web3

Last synced: 01 Aug 2024

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: 02 Aug 2024

https://github.com/dssg/aequitas

Bias Auditing & Fair ML Toolkit

bias fairness fairness-testing machine-bias

Last synced: 31 Jul 2024

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: 02 Aug 2024

https://github.com/adebayoj/fairml

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

Last synced: 30 Jul 2024

https://github.com/twitter-research/image-crop-analysis

Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

bias computer-vision fairness fairness-ml image-processing machine-learning research

Last synced: 31 Jul 2024

https://github.com/yromano/cqr

Conformalized Quantile Regression

algorithmic-fairness conformal-methods conformal-prediction deep-learning fairness prediction prediction-intervals pytorch quantile-regression random-forest random-forest-regression

Last synced: 31 Jul 2024

https://github.com/cosmicBboy/themis-ml

A library that implements fairness-aware machine learning algorithms

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

Last synced: 30 Jul 2024

https://github.com/laura-rieger/deep-explanation-penalization

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

ai artificial-intelligence cdep convolutional-neural-network data-science deep-learning explainability explainable-ai fairness fairness-ml feature-importance interpretability interpretable-deep-learning jupyter-notebook machine-learning ml neural-network python pytorch recurrent-neural-network