NamSor API v2 Python SDK - classify personal names accurately by gender, country of origin, or ethnicity.

NamSor Python command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.

This repository contains a console-interface name-ethnicity classifier

NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.

predict ethnicity from names

Experimental tagging schema for analysis of intersectionality, bias, and reception theories.

Tensorflow Keras based pre-trained model to predict gender and ethnicity of Indian Names using Python

NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.

NamSor command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.

NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.

A simple program using Resnet, Transfer Learning, Metric Learning and KNN-Classifiers to predict the ethnicity of a person using their images.

NamSor Salesforce Add-on : append likely gender to your SFSC / CRM contacts automatically. Can easily be forked to append US race / ethnicity, or country of origin as well.

EthnicityPredictor-UTK is a PyTorch-based project that focuses on predicting ethnicities from facial images using state-of-the-art ResNet architectures. Leveraging the UTKfaces dataset, the model is trained to recognize diverse facial features and make accurate ethnicity predictions.

Your name contains a lot of information. It tells if you're male or female and reveals your nationality. This project splits a name or email address into the first and last name and tells if a name is male or female and what the possible nationality is. Additionally this project can generate fake names and extract names from any given text.

Your name contains a lot of information. It tells if you're male or female and reveals your nationality. This project splits a name or email address into the first and last name and tells if a name is male or female and what the possible nationality is. Additionally this project can generate fake names and extract names from any given text.

This classifier uses the sub-strings of size 3 to learn probability associated with each substring such that it belongs to a particular ethnic group using the census 2000 data. When a new string is presented, it is broken down into sub-strings of size 3, and prediction is done on each of the sub-string using the model computed before. The output…

A pipeline utilizing PCA on 1000 genomes and WGS data from your own samples to determine or validate ancestry of an individual.

NamSor API v2 Ruby SDK - classify personal names accurately by gender, country of origin, or ethnicity.

Implementation for paper, "Learned Features are better for Ethnicity classification"

Classifies among three ethnic groups : Indian, African and Chinese ethnicity.