Seldon provides a set of tools for deploying machine learning models at scale.

• Deploy machine learning models in the cloud or on-premise.

• Get metrics and ensure proper governance and compliance for your running machine learning models

Projects

Seldon Core machine learning deployment on Kubernetes

• Seldon Core on GitHub

• Seldon Core Technical Documentation

Alibi Explain: Algorithms for AI Explainability for machine learning models

• alibi on Github

• alibi Documentation

Alibi Detect: Algorithms for outlier detection, concept drift and metrics

• alibi-detect on Github

• alibi-detect Documentation

Tempo: MLOps SDK for accelerating data science experimentation with Seldon Core and KFserving

• Tempo on Github

• Tempo Documentation

MLServer: High performance ayncio machine learning model server for Seldon and KFserving

• MLServer on Github