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

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

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

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.