interpretml / interpret

Collaborative text editor (like Google Docs or CoderPad) with integrated semi-anonymizing voice chat intended to help reduce bias in technical communication.

webrtc collaboration interview peer text-editor crdt operational-transformation coding-interviews bias blind-auditions voice-anonymization

Updated Sep 22, 2017
TypeScript

acbull / Unbiased_LambdaMart

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Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

lightgbm learning-to-rank bias

Updated Oct 30, 2019
C++

N2ITN / are-you-fake-news

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Bias detection in the news. Back and front end for areyoufakenews.com

lambda tensorflow keras media journalism fake-news bias fake-news-classification

Updated Jan 6, 2020
Jupyter Notebook

datamllab / awesome-fairness-in-ai

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A curated list of awesome Fairness in AI resources

machine-learning ai deep-learning bias fairness interpretability adversarial-learning xai gender-bias fairness-packages prediction-outcome-discrimination

Updated Jul 3, 2020

ijmarshall / robotreviewer

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Automatic synthesis of RCTs

clinical-trials trial bias systematic-reviews cochrane rcts icasr

Updated May 8, 2020
Python

explainX / explainx

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ExplainX is an explainable AI framework for data scientists to explain any black-box model behaviour to business stakeholders.

python machine-learning ai jupyter-notebook artificial-intelligence trust transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai xai interpretable-machine-learning explainx explainx-dashboard-features

Updated Aug 27, 2020
Jupyter Notebook

EBWiki / EBWiki

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Open

Add location object to Agency and Organization models

1

rlgreen91 commented Oct 15, 2019

Add the location object to the agency and organization models. You can use the date range and address examples in this guide as examples of how the model code should look.

good first issue hacktoberfest

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Rearrange case form

2

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Add delete button to case

3

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francozappa / bias

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Bluetooth Impersonation AttackS (BIAS) [CVE 2020-10135]

security authentication bluetooth wireless bias

Updated Jun 9, 2020
Python

nursnaaz / 25DaysInMachineLearning

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I will update this repository to learn Machine learning with python with statistics content and materials

python data-science machine-learning statistics random-forest numpy linear-regression machine-learning-algorithms python3 logistic-regression machinelearning modelling data-preprocessing practise decision-tree descriptive-statistics bias covariance bagging machinelearning-python

Updated Dec 30, 2019
Jupyter Notebook

cdancette / rubi.bootstrap.pytorch

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RUBi : Reducing Unimodal Biases for Visual Question Answering

deep-learning pytorch vqa bias bias-reduction

Updated Jul 1, 2020
Python

radames / Machine-Learning-Ethics-References

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List of references about Machine Learning and Data Science bias and ethics

data-science machine-learning ai artificial-intelligence awesome-list references bias fairness discrimination ethics machine-ethics machines-biased ai-ethics

Updated Oct 18, 2019

ResponsiblyAI / responsibly

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Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

python data-science machine-learning natural-language-processing audit artificial-intelligence bias fairness bias-finder ethics bias-correction machine-bias bias-reduction fairness-testing fairness-awareness-model fairness-ai fairness-ml

Updated Mar 30, 2020
Python

TalSchuster / FeverSymmetric

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Symmetric evaluation set based on the FEVER (fact verification) dataset

fever dataset bias fact-checking

Updated Jun 10, 2020
Python

visionjo / facerec-bias-bfw

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Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

python machine-learning computer-vision data-visualization dataset classification data-analysis face-recognition bias face-dataset face-verification ethnicity-analysis gender-bias ethnic-diversity bias-mitigation

Updated Aug 14, 2020
Jupyter Notebook

hrbrmstr / misinfo

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Open

enhance and expand built-in feeds

hrbrmstr commented Apr 12, 2018

there are plenty more bias phrases that can be added to existing lists and other biases that should be built-in. We should enhance these lists ASAP

enhancement good first issue help wanted

arsena-k / Word2Vec-bias-extraction

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How are words loaded with meaning? Repository to accompany research paper in preparation by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat."