NamSor API v2 Python SDK - classify personal names accurately by gender, country of origin, or ethnicity.
This repository contains a console-interface name-ethnicity classifier
NamSor Python command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.
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.
NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Tensorflow Keras based pre-trained model to predict gender and ethnicity of Indian Names using Python
NamSor command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.
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.
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 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.
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.
A simple program using Resnet, Transfer Learning, Metric Learning and KNN-Classifiers to predict the ethnicity of a person using their images.
Estimate age, gender, and ethnicity from facial images using a ResNet model.
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…
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.
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"
Add a description, image, and links to the ethnicity-classifier topic page so that developers can more easily learn about it.
To associate your repository with the ethnicity-classifier topic, visit your repo's landing page and select "manage topics."