fairness-ml

There are 6 repositories under fairness-ml topic.

fairlearn / fairlearn
A Python package to assess and improve fairness of machine learning models.
fairness-ml fairness-ai fairness machine-learning artificial-intelligence unfairness-mitigation fairness-assessment ai responsible-ai harms group-fairness ai-systems
Language:Python 1821
awesome-imbalanced-learning
ZhiningLiu1998 / awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
awesome awesome-list imbalanced-learning imbalanced-classification class-imbalance machine-learning ensemble-learning imbalanced-data deep-learning imbalanced-classes skewed-data fairness-ml fair-ml
1282
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.
ui responsible-ai data-science fairness fairness-ml fairness-ai explainable-ai explainable-ml explainability machinelearning machine-learning ml visualization widgets widget jupyter error-analysis data-analysis data-visualization interpretability
Language:TypeScript 1244
synthcity
vanderschaarlab / synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
pytorch tabular-data privacy machine-learning generative-model data-augmentation fairness-ml synthetic-data
Language:Python 369
tensorflow / fairness-indicators
Tensorflow's Fairness Evaluation and Visualization Toolkit
tensorflow fairness-ml fairness-indicators
Language:Jupyter Notebook 333
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
machine-learning computer-vision image-processing bias fairness-ml fairness research
Language:Jupyter Notebook 250
litian96 / fair_flearn
Fair Resource Allocation in Federated Learning (ICLR '20)
fairness-ml distributed-optimization federated-learning alpha-fairness
Language:Python 240
dccuchile / wefe
WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
word-embeddings word-embedding-evaluation word-embedding-fairness fairness-ml fairness-ai nlp nlp-library library python3 bias-detection bias-reduction
Language:Python 171
linkedin / LiFT
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
fairness fairness-ml fairness-ai linkedin spark machine-learning scala
Language:Scala 167
deep-explanation-penalization
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
interpretability neural-network machine-learning convolutional-neural-network pytorch explainability deep-learning explainable-ai artificial-intelligence ml ai python data-science jupyter-notebook feature-importance recurrent-neural-network fairness fairness-ml cdep interpretable-deep-learning
Language:Jupyter Notebook 123
naver / gdc
Code accompanying our papers on the "Generative Distributional Control" framework
language-model machine-learning ai nlp nlg gpt-2 gpt3 fairness-ml controlled-nlg exponential-family information-geometry reinforcement-learning
Language:Python 116
feedzai / fairgbm
Train Gradient Boosting models that are both high-performance *and* Fair!
gbm lightgbm fairness fairness-ml gradient-boosting tabular-data
Language:C++ 98
ResponsiblyAI / responsibly
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
python machine-learning artificial-intelligence fairness bias data-science ethics fairness-ml fairness-ai fairness-testing machine-bias fairness-awareness-model bias-correction natural-language-processing bias-reduction bias-finder audit
Language:Python 90
fairmodels
ModelOriented / fairmodels
Flexible tool for bias detection, visualization, and mitigation
fairness explainable-ml explain-classifiers fairness-ml fairness-comparison model-evaluation
Language:R 85
apple / dnikit
A Python toolkit for analyzing machine learning models and datasets.
fairness-ml introspection machine-learning python ai bias compression data fairness ml data-duplication
Language:Python 70
firmai / ml-fairness-framework
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
fairness-ml fairness-ai fairness-indicators explainable-ai xai explainable-ml interpretable-machine-learning contrastive prototypical aif360 alibi aix360 counterfactual
Language:Jupyter Notebook 70
aws / amazon-sagemaker-clarify
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
machine-learning fairness fairness-ml fairness-ai
Language:Python 65
brandeis-machine-learning / awesome-ml-fairness
Papers and online resources related to machine learning fairness
machine-learning awesome papers fairness trustworthy-machine-learning human-ai-interaction fairness-ml fairness-ai research-paper
58
amazon-science / bold
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
nlp nlg-dataset nlg gpt-2 language-model bias fairness-ml bert-model bert text-generation
57
litian96 / TERM
Tilted Empirical Risk Minimization (ICLR '21)
exponential-tilting learning-models-and-generalization fairness-ml label-noise-robustness
Language:Python 54
CODAIT / presentations
Talks & Workshops by the CODAIT team
presentations deep-learning open-source data-science machine-learning fairness-ai fairness-ml
Language:Jupyter Notebook 52
XinyiYS / CollaborativeFairFederatedLearning
Official implementation of our work "Collaborative Fairness in Federated Learning."
collaborative-learning fairness-awareness-model fairness-ml federated-learning privacy
Language:Python 48
credo-ai / credoai_lens
Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.
responsible-ai machine-learning ml ethical-artificial-intelligence assessment data-science artificial-intelligence ai jupyter python fairness-ml fairness-ai visualization reporting
Language:Python 45
jmikko / fair_ERM
Fair Empirical Risk Minimization (FERM)
fairness-ml
Language:Python 37
txsun1997 / Metric-Fairness
EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
bertscore deep-learning fairness-ai fairness-ml metric-bias natural-language-processing pretrained-language-model text-generation
Language:Jupyter Notebook 37
ashryaagr / Fairness.jl
Julia Toolkit with fairness metrics and bias mitigation algorithms
julia mlj machine-learning fairness-ml fairness-assessment bias-audit bias-mitigation fairness
Language:Julia 31
EqualityAI / EqualityML
Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
bias bias-correction bias-mitigation data-science fair fairness fairness-ml machine-learning biases
Language:Jupyter Notebook 31
kozodoi / fairness
R package for computing and visualizing fair ML metrics
fairness machine-learning fairness-ml fairness-ai discrimination algorithmic-fairness disparate-impact algorithmic-discrimination r
Language:R 30
microsoft / responsible-ai-toolbox-genbit
A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.
data-science fairness-ai fairness-ml gender gender-bias jupyter machine-learning natural-language natural-language-processing fairnness
Language:Python 28
mlr-org / mcboost
Multi-Calibration & Multi-Accuracy Boosting for R
machine-learning classification fairness fairness-ml fairness-ai responsible-ai bias-correction bias-detection post-processing ethics
Language:R 28
illidanlab / FADE
[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.
domain-adaptation fairness-ml federated-learning kdd
Language:Python 26
oxai / debias-vision-lang
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning [AACL 2022]
deep-learning fairness fairness-ml vision-language
Language:Python 25
wearepal / EthicML
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
ethical-artificial-intelligence fairness toolkit pytorch machine-learning fairness-comparison data-science ethical-data-science computer-vision algorithmic-fairness fairness-ml fairness-ai responsible-ai machine-bias fairness-awareness-model fairness-assessment
Language:Python 24
mfederici / dsit
Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
deep-learning distribution-shift fairness-ml information-theory pytorch
Language:Jupyter Notebook 23
microsoft / responsible-ai-workshop
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
responsible-ai principles fairness fairness-ai fairness-ml error-analysis explainability explainable-ai explainable-ml ml machine-learning jupyter-notebook widgets mlops-workshop
Language:Jupyter Notebook 23
jphall663 / hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
fairness xai interpretability iml fatml accountability transparency machine-learning data-science data-mining machine-learning-interpretability interpretable-machine-learning interpretable-ml interpretable-ai explainable-ai explainable-ml fairness-ai fairness-ml
Language:TeX 22

fairness-ml

fairlearn / fairlearn

ZhiningLiu1998 / awesome-imbalanced-learning

microsoft / responsible-ai-toolbox

vanderschaarlab / synthcity

tensorflow / fairness-indicators

twitter-research / image-crop-analysis

litian96 / fair_flearn

dccuchile / wefe

linkedin / LiFT

laura-rieger / deep-explanation-penalization

naver / gdc

feedzai / fairgbm

ResponsiblyAI / responsibly

ModelOriented / fairmodels

apple / dnikit

firmai / ml-fairness-framework

aws / amazon-sagemaker-clarify

brandeis-machine-learning / awesome-ml-fairness

amazon-science / bold

litian96 / TERM

CODAIT / presentations

XinyiYS / CollaborativeFairFederatedLearning

credo-ai / credoai_lens

jmikko / fair_ERM

txsun1997 / Metric-Fairness

ashryaagr / Fairness.jl

EqualityAI / EqualityML

kozodoi / fairness

microsoft / responsible-ai-toolbox-genbit

mlr-org / mcboost

illidanlab / FADE

oxai / debias-vision-lang

wearepal / EthicML

mfederici / dsit

microsoft / responsible-ai-workshop

jphall663 / hc_ml