There are 20 repositories under feature-store topic.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Hopsworks - Data-Intensive AI platform with a Feature Store
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
A tool for building feature stores.
The ML/AI meta-model, the source for qgate-sln-<solution> such as MLRun/Iguazio, etc.
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops
MLRun/Iguazio quality gate solution.
ByteHub: making feature stores simple
Python - Java/Scala API for the Hopsworks feature store
Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
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.
Build your feature store with macros right within your dbt repository
Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.
:scroll: Simple and flexible application to manage configuration data aka lists of values.
A demo of Redis Enterprise as the Online Feature Store deployed on GCP with Feast and NVIDIA Triton Inference Server.
This repo contains a plugin for feast to run an offline store on Spark
A simple app to help you find relevant machine learning papers to read.
FeatInsight is a feature platform based on OpenMLDB
A demo pipeline of using Redis as an online feature store with Feast for orchestration and Ray for training and model serving
A curated list of awesome open source and commercial feature store tools and platforms 🚀
Feast Client SDK for Node.js
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.
Get started with our Solution Accelerator for Propensity Scoring to build effective propensity scoring pipelines that: Enable the persistence, discovery and sharing of features across various model training exercises Quickly generate models by leveraging industry best practices Track and analyze the various model iterations generated
This is a repository created to explore different tools and technologies related to feature stores to build and serve ML models.