Adding MLRun

[alexiguazio]

name: MLRun buttonText: Try MLRun link: 'https://mlrun.org' category: Feature Store, Model Monitoring, Model Serving, Training Orchestration, Experiment Tracking description: >- MLRun is an end-to-end open-source MLOps solution to manage and automate your entire analytics and machine learning lifecycle, from data ingestion, through model development to full pipeline deployment. MLRun eases the development of machine learning pipelines at scale and helps ML teams build a robust process for moving from the research phase to fully operational production deployments.

• Feature and Artifact Store: handles the ingestion, processing, metadata, and storage of data and features across multiple repositories and technologies.

• Elastic Serverless Runtimes: converts simple code to scalable and managed microservices with workload-specific runtime engines (such as Kubernetes jobs, Nuclio, Dask, Spark, and Horovod).

• ML Pipeline Automation: automates data preparation, model training and testing, deployment of real-time production pipelines, and end-to-end monitoring.

• Central Management: provides a unified portal for managing the entire MLOps workflow. The portal includes a UI, a CLI, and an SDK, which are accessible from anywhere.

  gitHubRepoName: mlrun/mlrun youTubeVideoId: _3mxz3zMPpw

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[alexiguazio]

Hi there, Please add MLRun, an open source MLOps framework. MLRun covers a lot of ground, so we added all the relevant categories. Hope that's ok!