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Search results for python fairness
fairness
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python
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77 search results found
Datasets
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4,094
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Awesome Machine Learning Interpretability
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3,241
A curated list of awesome responsible machine learning resources.
Aif360
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2,293
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.
Fairlearn
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1,727
A Python package to assess and improve fairness of machine learning models.
Dalex
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1,242
moDel Agnostic Language for Exploration and eXplanation
Scikit Lego
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1,099
Extra blocks for scikit-learn pipelines.
Recsyspapers
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801
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.
Interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Aequitas
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606
Bias and Fairness Audit Toolkit
Mli Resources
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405
H2O.ai Machine Learning Interpretability Resources
Fairml
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261
Ml Fairness Gym
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246
Wefe
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169
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!
Fair Classification
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144
Python code for training fair logistic regression classifiers.
St Ssl
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107
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
Fairlens
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76
Identify bias and measure fairness of your data
Vania
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76
A module which fairly distributes a list of arbitrary objects among a set of targets, considering weights.
Deep Explanation Penalization
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74
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
Amazon Sagemaker Clarify
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63
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
Rsmtool
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63
A Python package to facilitate research on building and evaluating automated scoring models.
Fat Forensics
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63
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
Infairness
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58
PyTorch package to train and audit ML models for Individual Fairness
Ml2en
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56
An algorithm that transliterates Malayalam script to Roman / Latin characters (commonly 'Manglish') with reasonable phonetic fairness. Available in Python, PHP, Javascript
Dnikit
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47
A Python toolkit for analyzing machine learning models and datasets.
Icedata
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44
IceData: Datasets Hub for the *IceVision* Framework
Fairgnn
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44
A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)
Responsibly
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41
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Mabel
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32
EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
Medfair
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31
MEDFAIR: Benchmarking Fairness for Medical Imaging
Fairness_measures_code
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31
Guardian Ai
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29
Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.
Iti Gen
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25
[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation
Ethicml
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25
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Collaborativefairfederatedlearning
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25
Official implementation of our work "Collaborative Fairness in Federated Learning."
Flexible Fairness Constraints
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20
Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
Fppdl
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20
code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
Fairrec_www_2020
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19
Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
Interpretable Ml
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17
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Fair_erm
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17
Fair Empirical Risk Minimization (FERM)
Gradient Driven Rewards To Guarantee Fairness In Collaborative Machine Learning
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16
Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurIPS'21.
Fairbatch
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16
FairBatch: Batch Selection for Model Fairness (ICLR 2021)
Automlx
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16
This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.
Dcfr
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15
Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
Multilingual_fairness_lrec
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15
Data and code repository of " Multilingual Fairness Evaluation for Hate Speech Detection ". LREC 2020.
Debias Vision Lang
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14
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning [AACL 2022]
Fairrecsys
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14
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
Lcifr
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13
Learning Certified Individually Fair Representations
Fairclassifier
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13
An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.
Fair_credit_scoring
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9
Fair ML in credit scoring: Assessment, implementation and profit implications
Fedchar
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9
[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
Fairlex
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9
Fairlex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
Trusted Ai Workshops
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9
Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360
Fairrank
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9
Npaq
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8
Neural Property Approximate Quantifier
Fairbench
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8
Comprehensive AI fairness exploration.
Sonder
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8
Sonder is an open-source platform enabling access to diverse knowledge.
Laundryml
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8
Code for our paper "Fairwashing: the risk of rationalization" (https://arxiv.org/abs/1901.09749) accepted at ICML 2019.
Libra
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8
Explabox
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8
Explore/examine/explain/expose your model with the explabox!
Applied Computing Series
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8
Datagraph
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7
Scheduling optimization algorithm use case implementation
Fair Pricing
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7
Source code for WWW 2022 paper "Regulatory Instruments for Fair Personalized Pricing".
Adafair
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7
Variational Fair Clustering
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7
Variational Fair clustering
Matching With Gans
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7
Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼🦰👱🏽♂️👴🏾
Cpfairrecsys
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7
[Official Codes] CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems (SIGIR2022)
Aequitas
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7
Aequitas, a directed fairness testing framework machine learning models.
Shortcut Ood Fairness
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6
The Limits of Fair Medical Imaging AI In The Wild
Fairgen
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6
Code for paper `Improving the Fairness of Deep Generative Models without Retraining`
Shortcuts Chest Xray
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6
Detecting Shortcuts in Medical Images - A Case Study in Chest X-rays - ISBI 2023
Fairpoi
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6
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation (Bias@ECIR 22))
Fairml Farm
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6
A collection of implementations of fair ML algorithms
Causal Dyna Fair
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6
Code for ICML 2020 paper Causal Modeling for Fairness In Dynamical Systems
Shapley_valuation
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6
PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]
Fairgan
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6
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
Embedding Fairness
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5
Studying gender bias in word embeddings via skipgram and SVD methods; developing fairness regularization and debiasing techniques.
Canonical_sets
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5
Exposing Algorithmic Bias with Canonical Sets
Verifyml
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5
Open-source toolkit to help companies implement responsible AI workflows.
Uge Unbiased Graph Embedding
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5
This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.
Fairemol
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5
This is the code for the paper "Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning" in IEEE Transactions on Evolutionary Computation.
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