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
Jan 6, 2025 - 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.
A mobile application that supports victims of Gender-Nased Violence, harmful practices and other traumatic experiences.
Gins - A gender/pronoun library for PHP
Template-system and proof-of-concept for rendering gender-neutral text-, email- and RPG-text-templates with the correct pronouns of all people involved.
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.
This project leverages data analytics to gain insights into gender diversity and inclusion within the company. The Power BI dashboard and KPIs allow HR and management to track important metrics, identify issues, and make informed decisions to improve the representation and experience of all genders in the workforce.
Using Clarifai Python API & Bing API to tag images of STEM professions, plus d3.js for viz.
Código de @columnistos y sus hermanas
NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Quantifying a gender bias in the media
This repository contains the backend API and machine learning models of AymurAI
Evaluation of gender bias in a graph-based classification algorithm.
GenderGap.AFRICA is a tool designed to help users calculate the gender pay gap in any African country. Accessible at https://gendergap.africa/
Anwendung zur Erkennung von generischem Maskulinum in deutschen Texten und Erstellung von Korrekturvorschlägen zum Gendern.
The primary goal of this project is to detecting and examining gender bias in news articles
UC Berkeley GWS 131 Fall 2017
Desafio prático 1
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