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25 public repositories
matching this topic...
Updated
Oct 4, 2018
Python
Python code for training fair logistic regression classifiers.
Updated
Feb 14, 2018
Python
Crop/Weed Field Image Dataset
A library that implements fairness-aware machine learning algorithms
Updated
Jul 31, 2018
Jupyter Notebook
List of references about Machine Learning and Data Science bias and ethics
This is a collection of papers and other resources related to fairness.
Updated
Jul 16, 2020
HTML
R package for computing measures of algorithmic fairness
This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.
Updated
Jul 10, 2020
MATLAB
Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
Updated
Aug 1, 2020
Jupyter Notebook
Classifying hate speech with deep learning (honors thesis 2017-18)
Updated
Sep 18, 2019
Jupyter Notebook
Visualisation of data from a study into author gender representation at audio engineering conferences
Updated
Jul 29, 2020
JavaScript
Missing Women on the streets of Delhi
Updated
May 21, 2017
Jupyter Notebook
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.
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.
Java Web Project- Online Examination System with Discrimination Index
No DSS: Most flat shares refuse benefit claimants
Multiclass Matthews correlation for an unknown dictionary between rows and columns
Updated
May 21, 2018
Python
A complex regression analysis of wages between males and females based on the American Community Survey
Stimulus discrimination app
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.
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