CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
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Updated
Mar 15, 2024 - Python
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
Remove problematic gender bias from word embeddings.
Código de @columnistos y sus hermanas
A mobile application that supports victims of Gender-Nased Violence, harmful practices and other traumatic experiences.
Using Clarifai Python API & Bing API to tag images of STEM professions, plus d3.js for viz.
Gins - A gender/pronoun library for PHP
Evaluation of gender bias in a graph-based classification algorithm.
Un recueil de termes et expressions genrées et leurs équivalents épicènes, pour des interfaces plus inclusives :)
Chrome extension to turn unnecessarily gendered words into their neutral alternatives across the web.
Desafio prático 1
NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Analysis code for _Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology_
NamSor API v2 Ruby SDK - classify personal names accurately by gender, country of origin, or ethnicity.
GenderGap.AFRICA is a tool designed to help users calculate the gender pay gap in any African country. Accessible at https://gendergap.africa/
WE Giggle is a non-profit organization dedicated to empowering women and helping them reach their full potential. Our programs and services are designed to provide women with the tools and resources they need to succeed in all aspects of their lives.
Richtlinien für Benutzeroberflächen, Code-Beispiele, Designtools und Ressourcen
An interactive dashboard built on JavaScript and Python (Flask) to show information about movies ratings and gender inequalities in the film industry.
Module for International Area Studies
Analysis of employment levels changes with time in the United States using data from gapminder.org.
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