seldon core

We have hosted the application seldon core in order to run this application in our online workstations with Wine or directly.

Quick description about seldon core:

The de facto standard open-source platform for rapidly deploying machine learning models on Kubernetes. Seldon Core, our open-source framework, makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. Seldon Core serves models built in any open-source or commercial model building framework. You can make use of powerful Kubernetes features like custom resource definitions to manage model graphs. And then connect your continuous integration and deployment (CI/CD) tools to scale and update your deployment. Built on Kubernetes, runs on any cloud and on-premises. Framework agnostic, supports top ML libraries, toolkits and languages. Advanced deployments with experiments, ensembles and transformers. Our open-source framework makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes.

Features:

• Platform Integrations
• Easier and faster to deploy your machine learning models
• Agnostic and independent
• Runs anywhere
• Runtime inference graphs
• Serves models built in any open-source or commercial model building framework

Programming Language: Python.
Categories: