📜 Simple and flexible application to manage configuration data aka lists of values.
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Updated
May 14, 2020 - Vue
📜 Simple and flexible application to manage configuration data aka lists of values.
StreamSQL is a feature store for machine learning.
Zero-Dependency Feature Store. Available for Python and other languages.
ByteHub: making feature stores simple
Feast as a combinator.ml component
A curated list of awesome open source and commercial feature store tools and platforms 🚀
Quality Aware Feature Store
This is a repository created to explore different tools and technologies related to feature stores to build and serve ML models.
Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
Metastore Python SDK. Feature store and data catalog for machine learning.
A demo pipeline of using Redis as an online feature store with Feast for orchestration and Ray for training and model serving
This repo contains a plugin for feast to run an offline store on Spark
Build your feature store with macros right within your dbt repository
Feast Client SDK for Node.js
Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.
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.
An alternative Vertex AI (AI Platform) Featurestore Online Serving Client.
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
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