There are 2 repositories under discrimination topic.
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.
Python code for training fair logistic regression classifiers.
A library that implements fairness-aware machine learning algorithms
A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.
List of references about Machine Learning bias and ethics
Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
Fair ML in credit scoring: Assessment, implementation and profit implications
This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.
How Facebook and Google skew the distribution of advertisements, absent any targeting from the advertiser
Classifying hate speech with deep learning (honors thesis 2017-18)
Matlab toolbox to integrate normal (Gaussian) distributions in any dimensions with any parameters in any domain, compute pdf/cdf/inverse cdf of any function of a normal vector, and measures of classification performance among two or more multinormals, like error matrix and d'.
This is a high discrimination scanner designed to recognise DNA motifs within a long stretch of DNA. Most importantly, this implementation shows how to implement a variable sensitivity for detection, by modifying the pseudocount values.
This is a scanner designed to recognise DNA motifs within a long stretch of DNA. It uses two models for discrimination, one model representing the target and the second model representing the background.
Workshop with readings and exercises on the politics of tech.
Say no to discrimination. We should be treated as equals.
The human rights abuses the Uyghur people are facing at the hands of the Chinese government are worth our undivided attention.
Analyze whether female faculty at the school were less likely to be full professors, more likely to be assistant professors, and earn less money than men, on average.
We're Disability Watch, a team of independent journalists writing about disabled issues, for disabled people. This is our GitHub Pages deployment.
Thesis report regarding the importance of women in computer science, disparities caused by discrimination, and the success rate of various strategies commonly used to encourage gender diversity in technology.
The purpose of this project is to analyze and compare the median income and wealth of different racial and educational groups. The analysis includes calculating the median housing wealth, median debt related to housing, median non-housing wealth, and median income for each group, using weighted medians for accurate results.
This repository contains information regarding the software backend of our rodent odor discrimination apparatus from our paper/lab.
Играбельный пост о том, как безобидный выбор способен сделать мир неблагоприятным.
Site de Coanima
Free tools to help enterprises and individual audit biases in their algorithms. Support legislation such as the NYC AEDT Law.