Popular GitHub Repositories for Feature Store

The Open Source Feature Store for AI/ML

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Hopsworks - Data-Intensive AI platform with a Feature Store

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

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

MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.

? A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.

Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.

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.

Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops

Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.

The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt

Resources on real-time machine learning

A demo pipeline of using Redis as an online feature store with Feast for orchestration and Ray for training and model serving

An example of using Redis + RedisAI for a microservice that predicts consumer loan probabilities using Redis as a feature and model store and RedisAI as an inference server.

StreamSQL is a feature store for machine learning.

This is a repository created to explore different tools and technologies related to feature stores to build and serve ML models.

Seeknal is an all-in-one platform for data and AI/ML engineering

End-to-end ML project for tabular data.