Gender classifier from first name
A table component for Ink.
Organizes aggregated content into a virtual file catalog for use in an Antora documentation pipeline.
Gender detection from first name
Classify the color along the reference color. using algorithm the CIEDE2000, RGB, HSV.
Detect the gender of a person using his/her first name.
MediaPipe Audio Tasks
MediaPipe Text Tasks
Programming language classifier
Gender package provides functionality to generate a fake gender value.
Modern JavaScript and TypeScript client for Gender-API.com
KNN Classifier for TensorFlow.js
CART decision tree algorithm
Random forest for classification and regression
The best library to work with LLMs
Detect the gender of a person using his/her first name.
Naive Bayes Classifier for node.js
A library for running evaluations for AI use cases
Patient banner microfrontend for the OpenMRS SPA
Naive Bayes classifier
Classifier english article(a, an).
Naive Bayes Text Classifier
Fork a stream in multiple directions according to a function
Classifier interface for Talkify
The name_gender_classifier gem classifies Brazilian first names as either 'male' or 'female' based on the 2010 IBGE census.
Guess gender by a first name using more detailed, better sourced data from Open Gender Tracker's Global Name Data.<br /> Beauvoir lets you set avg and lower bounds and choose countries from which to draw data. It's important to note that many people identify as neither a men nor a women. It's important, too, to note that many people who do identify as male or female have names that<br /> are held by far more people who identify as another gender. All of these people deserve not to be misgendered in public (or in private). Nevertheless, automatically classifying people by apparent gender can be a very useful tool to perform censuses of communities or publications to detect and quantify perhaps-invisible bias. VIDA is a pioneer in this field, but their "Count" is limited by a manual methodology that depends hundreds of person-hours of labor. There is a place for more automated counts and Beauvoir can help, but if you do a count like this, you should be careful in how you word your findings not to misgender anyone in particular and be responsive to the possibility of errors.