Topic: ai-fairness Goto Github
Some thing interesting about ai-fairness
Some thing interesting about ai-fairness
ai-fairness,A benchmark of the different word embedding techniques on fairness and bias in AI models
User: ankushjain2001
ai-fairness,FairWell is a Responsible AI tool developed using Streamlit
Organization: fairwell-dev
ai-fairness,A model card inspired by Derman & Wilmott's "Modelers' Hippocratic Oath", adapted for responsible and nuanced ML.
User: handcartcactus
ai-fairness,Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.
User: heyaudace
ai-fairness,Explainability of AI models is a difficult task which is made simpler by Cortex Certifai. It evaluates AI models for robustness, fairness, and explainability, and allows users to compare different models or model versions for these qualities. Certifai can be applied to any black-box model including machine learning models, predictive models and works with a variety of input datasets.
Organization: ibmdevelopermea
ai-fairness,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
Organization: ibmdeveloperuk
ai-fairness,Sample project using IBM's AI Fairness 360 is an open source toolkit for determining, examining, and mitigating discrimination and bias in machine learning (ML) models throughout the AI application lifecycle.
User: jolares
ai-fairness,Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
Organization: mahmoodlab
ai-fairness,Notes, references and materials on AI Fairness that I found useful and helped me in my academic research.
User: mirianfsilva
ai-fairness,Here we deal with the issue of fairness in machine learning classification algorithm and we try to exploit regularization technique to attain fairness.
User: rishidarkdevil
ai-fairness,Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
User: zhihengli-ur
ai-fairness,Official code of "StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis" (CVPR 2022)
User: zhihengli-ur
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