feature-store
There are 70 repositories under feature-store topic.
feast-dev/feast
The Open Source Feature Store for AI/ML
featureform/featureform
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
feathr-ai/feathr
Feathr – A scalable, unified data and AI engineering platform for enterprise
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
logicalclocks/hopsworks
Hopsworks - Data-Intensive AI platform with a Feature Store
iusztinpaul/energy-forecasting
🌀 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
pixeltable/pixeltable
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
featurestoreorg/serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
decodingml/personalized-recommender-course
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
george0st/qgate-model
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>
alibaba/feathub
FeatHub - A stream-batch unified feature store for real-time machine learning
redis-developer/redis-ai-resources
✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
quintoandar/butterfree
A tool for building feature stores.
george0st/qgate-sln-mlrun
MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.
inlinedio/ikv-store
High-performance key-value store for ML inference. 100x faster than Redis.
serodriguez68/designing-ml-systems-summary
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.
Paulescu/bytewax-hopsworks-example
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
logicalclocks/hops-examples
Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops
bytehub-ai/bytehub
ByteHub: making feature stores simple
MatsMoll/aligned
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
GokuMohandas/feature-store
Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
bgokden/veri
Scalable Feature Store
logicalclocks/feature-store-api
Python - Java/Scala API for the Hopsworks feature store
fal-ai/dbt_feature_store
Build your feature store with macros right within your dbt repository
aws-samples/sagemaker-feature-store-real-time-recommendations
Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.
TurboML-Inc/awesome-real-time-ml
Resources on real-time machine learning
scylladb/scylladb-feature-store
Feature store sample applications built with ScyllaDB
4paradigm/FeatInsight
FeatInsight is a feature platform based on OpenMLDB
awesome-mlops/awesome-feature-store
A curated list of awesome open source and commercial feature store tools and platforms 🚀
alexisrolland/listof
:scroll: Simple and flexible application to manage configuration data aka lists of values.
redis-applied-ai/redis-feast-gcp
A demo of Redis Enterprise as the Online Feature Store deployed on GCP with Feast and NVIDIA Triton Inference Server.
Adyen/feast-spark-offline-store
This repo contains a plugin for feast to run an offline store on Spark
yassine-rd/PaperWhiz
A simple app to help you find relevant machine learning papers to read.
redis-applied-ai/redis-feast-ray
A demo pipeline of using Redis as an online feature store with Feast for orchestration and Ray for training and model serving
rodrigobaron/qafs
Quality Aware Feature Store
redis-applied-ai/loan-prediction-microservice
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.