Top 3 categorical-feature Open-Source Projects

catboost

8 7,767 9.9 Python

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.

Project mention: CatBoost: Open-source gradient boosting library | news.ycombinator.com | 2024-03-05

embedding-encoder

1 40 0.0 Jupyter Notebook

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

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
deodel

13 5 6.3 Python

A mixed attributes predictive algorithm implemented in Python.

Project mention: [P] New predictor does classification intermixed with regression | /r/MachineLearning | 2023-07-17

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).