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Search results for python fairness ml
fairness-ml
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25 search results found
Fairlearn
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1,727
A Python package to assess and improve fairness of machine learning models.
Synthcity
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292
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
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_flearn
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121
Fair Resource Allocation in Federated Learning (ICLR '20)
Gdc
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99
Code for the ICLR 2021 paper "A Distributional Approach to Controlled Text Generation"
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.
Term
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51
Tilted Empirical Risk Minimization (ICLR '21)
Dnikit
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47
A Python toolkit for analyzing machine learning models and datasets.
Credoai_lens
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44
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.
Responsibly
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41
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Collaborativefairfederatedlearning
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25
Official implementation of our work "Collaborative Fairness in Federated Learning."
Ethicml
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25
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Fair_erm
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17
Fair Empirical Risk Minimization (FERM)
Fairbatch
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16
FairBatch: Batch Selection for Model Fairness (ICLR 2021)
Dcfr
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15
Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
Debias Vision Lang
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14
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning [AACL 2022]
Fade
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14
[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.
Article Information 2019
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10
Article for Special Edition of Information: Machine Learning with Python
Circle
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8
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Inequity Release
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8
Code to accompany 2019 paper.
Intraprocessing_debiasing
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7
Code to accompany NeurIPS paper https://arxiv.org/abs/2006.08564
Variational Fair Clustering
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7
Variational Fair clustering
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]
Searchfair
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6
Binary classification algorithm under fairness considerations.
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