An open-source machine learning platform for Kubernetes, designed to make deployments of ML workflows on Kubernetes simple, portable, and scalable.
URL: Visit APIs.json URL
- Machine Learning, MLOps, Kubernetes, AI, Deep Learning, Model Training, Model Serving, Open Source
- Created: 2024-01-15 00:00:00+00:00
- Modified: 2024-01-15 00:00:00+00:00
REST API for creating, managing, and executing machine learning pipelines
Human URL: https://www.kubeflow.org/docs/components/pipelines/
- Machine Learning, Pipelines, Workflows, MLOps
API for tracking and managing metadata for ML workflows
Human URL: https://www.kubeflow.org/docs/components/metadata/
- Metadata, ML Tracking, Artifacts
API for serverless inferencing on Kubernetes, providing model serving capabilities
Human URL: https://kserve.github.io/website/
- Model Serving, Inference, Serverless, Predictions
Hyperparameter tuning and neural architecture search API
Human URL: https://www.kubeflow.org/docs/components/katib/
- Hyperparameter Tuning, AutoML, Neural Architecture Search
API for managing Jupyter notebook instances
Human URL: https://www.kubeflow.org/docs/components/notebooks/
- Notebooks, Jupyter, Development Environment
API for the Kubeflow central dashboard and UI components
Human URL: https://www.kubeflow.org/docs/components/central-dash/
- Dashboard, UI, Management
FN: Kubeflow Community