appeler Goto Github PK
Name: appeler
Type: Organization
Bio: Making sense of names.
Name: appeler
Type: Organization
Bio: Making sense of names.
Making sense of names.
Deduplicate and parse list of `dirty names'
Predict the distribution of race/ethnicity for a last name
Using ethnicolr to predict DIME
Predict Race and Ethnicity Based on Race/Ethnicity of "Nearest" Names
Race and Ethnicity based on name using data from census, voter reg. files, etc.
Predict Race and Ethnicity Based on the Sequence of Characters in a Name
Ethnicolr implementation with new models in pytorch
Predict Race and Ethnicity Based on the Sequence of Characters in a Name
Replication materials + ms for name to race models
Infer the gender of person with a particular first name using Google image search and Clarifai
instate: predict the state of residence from last name using the indian electoral rolls
generative model for names
Infer Sociodemographic Characteristics from Names Using Indian Electoral Rolls
ML name sex
Data on international first names and sex of people with that name
Evaluation of some of the ethnicolr models on the NC Voter Registration Data + New Models Based on NC Voter Registration Data.
Using data from over 140M+ Indians from the SECC 2011, we map last names to caste (SC, ST, Other)
AI name parsing. Predict first or last name using a DL model.
pranaam: predict religion based on name
Search a long list of names (patterns) in a large text corpus systematically and quickly
Sound Names: Predict Race and Ethnicity Based on the Sequence of Sounds
estimate uncertainty using dropout and conformal prediction
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.