#Feature-store
Showing 16 of 16 repositories tagged #feature-store, ranked by stars
The Open Source Feature Store for AI/ML
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Feathr โ A scalable, unified data and AI engineering platform for enterprise
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Unified multimodal backend for AI data apps
Hopsworks - Data-Intensive AI platform with a Feature Store
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
โจ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>
FeatHub - A stream-batch unified feature store for real-time machine learning
A tool for building feature stores.
MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.
Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
ByteHub: making feature stores simple