NamSor API v2 Python SDK - classify personal names accurately by gender, country of origin, or ethnicity.
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Updated
Aug 23, 2023 - Python
NamSor API v2 Python SDK - classify personal names accurately by gender, country of origin, or ethnicity.
A simple demo of gender classifier by using dlib face recognition model as a feature extractor
INA's library with pretrained models for gender and age prediction from faces.
Deep learning, Face detection, CNN, Tensorflow, Keras, OpenCV, Python crawler
NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Guess gender from indian names.
The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.
NamSor command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.
Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.
Classify names into male/female using Neural Nets
NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Gender classifier from first name
NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Gender-classifier-python-module
Using a machine learning model, classify Georgian names to their corresponding genders.
Implementing gender recognition based on first 14 MFCC coefficients, pitch period, short time energy and spectral centroid
A Project based on CNN, For image gender prediction, With GUI made from Tkinter
NamSor API v2 Ruby SDK - classify personal names accurately by gender, country of origin, or ethnicity.
For a digital humanities project, I created a converter program called "What's Your Identity? ♀️ ♂️". My pronoun_id() function returns the correct pronoun classification associated with a corresponding gender identity.
Gender Classification for Podcast Media – EPFL Capstone Project for COS Applied Data Science: Machine Learning
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