Description

Kubeflow is an open-source, cloud-native machine learning (ML) platform designed for data scientists and software engineers. It enables users to orchestrate complicated workflows running on Kubernetes, deploy and manage machine systems at scale, rapidly experiment with machine learning model training, tune model hyperparameters during training, deploy and manage loosely-coupled microservices, reuse the public pipelines and components that are available on AI Hub. Features include multi-cloud framework, continuous integration and deployment (CI/CD), multiuser management, task dependency analysis, issue board, and centralized dashboard.