https://github.com/mlrun/mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
https://github.com/mlrun/mlrun

data-engineering data-science experiment-tracking kubernetes machine-learning mlops mlops-workflow model-serving python workflow

Last synced: about 1 month ago
JSON representation

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

• Host: GitHub
• URL: https://github.com/mlrun/mlrun
• Owner: mlrun
• License: apache-2.0
• Created: 2019-09-01T16:59:19.000Z (over 5 years ago)
• Default Branch: development
• Last Pushed: 2024-05-19T14:43:41.000Z (7 months ago)
• Last Synced: 2024-05-19T14:45:40.955Z (7 months ago)
• Topics: data-engineering, data-science, experiment-tracking, kubernetes, machine-learning, mlops, mlops-workflow, model-serving, python, workflow
• Language: Python
• Homepage: https://mlrun.org
• Size: 60.7 MB
• Stars: 1,318
• Watchers: 25
• Forks: 238
• Open Issues: 88
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-kubeflow - MLRun
• awesome-production-machine-learning - MLRun - MLRun is an open MLOps framework for quickly building and managing continuous ML and generative AI applications across their lifecycle. (Deployment and Serving)
• StarryDivineSky - mlrun/mlrun
• awesome-llmops - MLRun - square) | (Large Scale Deployment / ML Platforms)