Serving layer for large machine learning models on Apache Flink
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Updated
Aug 8, 2018 - Java
Serving layer for large machine learning models on Apache Flink
Generic Model Serving Implementation leveraging Flink
Common library for serving TensorFlow, XGBoost and scikit-learn models in production.
Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/
A scalable, high-performance serving system for federated learning models
KServe TrustyAI explainer
Hopsworks - Data-Intensive AI platform with a Feature Store
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