ethnicolr2 and ethnicolr

Ethnicolr2 is a modernized PyTorch reimplementation of the original Ethnicolr library, making them successive versions in the same project lineage rather than independent tools.

ethnicolr2
56
Established
ethnicolr
55
Established
Maintenance 10/25
Adoption 6/25
Maturity 25/25
Community 15/25
Maintenance 6/25
Adoption 10/25
Maturity 17/25
Community 22/25
Stars: 16
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 249
Forks: 62
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
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About ethnicolr2

appeler/ethnicolr2

Ethnicolr implementation with new models in pytorch

This tool helps researchers, marketers, or HR professionals understand the likely racial and ethnic background of individuals based on their names. You input a list of first and last names, and the system outputs a prediction of race and ethnicity (e.g., non-Hispanic white, non-Hispanic Black, Asian, Hispanic, or Other). It's designed for anyone needing to analyze demographic patterns from name data, especially when dealing with names not commonly found in standard census records.

demographic-analysis market-research HR-analytics social-science-research name-analysis

About ethnicolr

appeler/ethnicolr

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

This tool helps researchers, marketers, or HR professionals understand the likely racial or ethnic background associated with a person's name. You input a list of names, and it outputs the probability that each name belongs to specific racial or ethnic groups (like Non-Hispanic White, Black, Asian, or Hispanic), based on various public datasets.

demographic-analysis market-research hr-analytics social-science-research customer-segmentation

Scores updated daily from GitHub, PyPI, and npm data. How scores work