TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Feathr – A scalable, unified data and AI engineering platform for enterprise

A recommender system for discovering GitHub repos, built with Apache Spark

A schema-aware Scala library for data transformation

This is OpenMLDB's Spark Distribution, which is particularly optimized for feature extraction. It includes a few novel techniques, such as native implementation of last join and multi-window parallelization. Its APIs are fully compatible with the standard Spark. It is designed to be a component of OpenMLDB (https://github.com/4paradigm/OpenMLDB).

A easy to get start, scalable, distributed feature engineering framework based on Spark.

Machine Learning framework with feature generation, selection, tuning and optimization

time-series feature engineering by spark