categorical-features topic
catboost
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 computa...
chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical...
entity-embedding-rossmann
product-nets
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
EntityEmbedding-Working_Example
This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.
cattonum
Encode Categorical Features (unmaintained)
kts
Interactive ML Toolset
embedding-encoder
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.