#feature-engineering (15 Repositories)
Ranked open-source repositories tagged with #feature-engineering, scored by pull request acceptance likelihood and maintainer engagement velocity.
33.6%
41.8h
15 repositories tagged #feature-engineering
metarank/metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
winedarksea/AutoTS
Automated Time Series Forecasting
asavinov/intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
upgini/upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
volga-project/volga
Unified real-time data engine
Meesho/BharatMLStack
BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
ThomasBury/arfs
All Relevant Feature Selection
featureform/featureform
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
evinism/mistql
A query / expression language for performing computations on JSON-like structures. Built for easy embedding in applications.
vinta/albedo
A recommender system for discovering GitHub repos, built with Apache Spark
feathr-ai/feathr
Feathr – A scalable, unified data and AI engineering platform for enterprise
alibaba/Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
logicalclocks/hopsworks
Hopsworks - Data-Intensive AI platform with a Feature Store
eddyzzl/marvis-risk-agent
MARVIS-Agent: all-purpose credit risk agent for model development, validation, data processing, feature engineering, and strategy workflows.