This repository contains a console-interface name-ethnicity classifier

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.

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

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

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.

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

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…