Popular GitHub Repositories for Categorical Features

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

A Python framework for deploying recommendation models for form fields.

A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).