The Open Source Feature Store for Machine Learning
Feathr – A scalable, unified data and AI engineering platform for enterprise
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
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
🌀 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
FeatHub - A stream-batch unified feature store for real-time machine learning
A tool for building feature stores.
High-performance key-value store for ML inference. 100x faster than Redis.
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)
MLRun/Iguazio quality gate solution.
✨ 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
ByteHub: making feature stores simple
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.
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
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