fairness

Here are 604 public repositories matching this topic...

jphall663 / awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

python data-science machine-learning awesome r awesome-list transparency fairness ai-safety privacy-enhancing-technologies interpretability interpretable-ai interpretable-ml explainable-ml xai interpretable-machine-learning privacy-preserving-machine-learning machine-learning-interpretability secure-ml reliable-ai

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Trusted-AI / AIF360

Star

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.

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

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Python

fairlearn / fairlearn

Star

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

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

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Python

tangxyw / RecSysPapers

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推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

reinforcement-learning match rank calibration recommendation-system cold-start papers multi-modal causal-inference multi-task fairness debias multi-scenario distillation diverse re-rank look-alike contrastive-learning pre-rank feedback-delay

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Python

👁 codecarbon

mlco2 / codecarbon

Sponsor

Star

Track emissions from Compute and recommend ways to reduce their impact on the environment.

sustainability carbon-emissions energy-consumption energy-efficiency fairness carbon-footprint co2-emissions ai-ethics

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Python

microsoft / responsible-ai-toolbox

Star

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.

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

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TypeScript

👁 DALEX

ModelOriented / DALEX

Star

moDel Agnostic Language for Exploration and eXplanation

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

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Python

gnolang / gno

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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.

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

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Go

satmihir / fair

Star

A Go library for serving resources fairly

distributed-systems throttling fairness go-library

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Go

dssg / aequitas

Star

Bias Auditing & Fair ML Toolkit

bias fairness machine-bias fairness-testing

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Python

jphall663 / interpretable_machine_learning_with_python

Star

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

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Jupyter Notebook

WwZzz / easyFL

Star

An experimental platform for federated learning.

machine-learning deep-learning distributed-computing pytorch fairness federated-learning

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Jupyter Notebook

h2oai / mli-resources

Star

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

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Jupyter Notebook

MinghuiChen43 / awesome-trustworthy-deep-learning

Star

A curated list of trustworthy deep learning papers. Daily updating...

security privacy deep-learning backdoor uncertainty ownership causality fairness watermarking poisoning robustness adversarial-machine-learning machine-unlearning interpretable-deep-learning ai-alignment green-ai membership-inference-attack hallucinations gradient-leakage out-of-distribution-generalization

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adebayoj / fairml

Star

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

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Python

datamllab / awesome-fairness-in-ai

Star

A curated list of awesome Fairness in AI resources

machine-learning ai deep-learning bias fairness interpretability xai gender-bias

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yromano / cqr

Star

Conformalized Quantile Regression

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

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Jupyter Notebook

cvs-health / langfair

Star

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

python ai artificial-intelligence bias fairness ai-safety fairness-testing bias-detection fairness-ai fairness-ml responsible-ai ethical-ai large-language-models llm llm-evaluation llm-evaluation-framework llm-evaluation-metrics

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Python

twitter-research / image-crop-analysis

Star

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

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

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Jupyter Notebook

Echo-Ji / ST-SSL

Star

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

data-mining adaptive representation-learning data-augmentation aaai fairness spatio-temporal-data robustness spatio-temporal-prediction traffic-flow-prediction graph-neural-networks self-supervised-learning robust-machine-learning traffic-forecasting contrastive-learning graph-augmentation location-embedding

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Python

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⇱ fairness · GitHub Topics · GitHub

fairness

Here are 604 public repositories matching this topic...

jphall663 / awesome-machine-learning-interpretability

Trusted-AI / AIF360

fairlearn / fairlearn

tangxyw / RecSysPapers

mlco2 / codecarbon

microsoft / responsible-ai-toolbox

ModelOriented / DALEX

gnolang / gno

satmihir / fair

dssg / aequitas

jphall663 / interpretable_machine_learning_with_python

WwZzz / easyFL

h2oai / mli-resources

MinghuiChen43 / awesome-trustworthy-deep-learning

adebayoj / fairml

datamllab / awesome-fairness-in-ai

yromano / cqr

cvs-health / langfair

twitter-research / image-crop-analysis

Echo-Ji / ST-SSL

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Add this topic to your repo