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 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.

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

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

Genetic Ancestry

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

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

Ethnicity Annotation from Whole-Exome and Targeted Sequencing Data

Reference-based Ancestry INference

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

OpenPlaques diversity analysis

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

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

As part of an overall strategy for improving therapies for childhood cancers, the PPTC seeks to develop models for the types of tumors that will be encountered in early phase clinical testing by establishing patient derived xenografts (PDXs) from high-risk childhood cancers refractory to current standard of care treatments. Genomic profiling of …

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"