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Add MLrun to Linux Foundation AI Landscape #3058

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JustGitting opened this issue Feb 8, 2023 · 0 comments
Open

Add MLrun to Linux Foundation AI Landscape #3058

JustGitting opened this issue Feb 8, 2023 · 0 comments

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@JustGitting
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Hi,

I'm slowly getting my head around the bewildering array of ML workflows/pipelines/orchestration tools and frameworks. I came across MLRun from reading Best Workflow and Pipeline Orchestration Tools: Machine Learning Guide. Then found the Linux Foundation AI Landscape via the article MLOps Infrastructure Stack.

MLRun seems to be missing from the LF AI Landscape. A project can be added via a PR.

New Entries

Projects must be open source and hosted on or mirrored to GitHub.
AI, ML, and DL projects with at least 300 GitHub stars that clearly fit in an existing category are generally included. Put the project in the single category where it best fits.
We are unlikely to create a new category for projects as we'd rather find the best home with the current options.
Your project or company needs a logo and the logo needs to include the name.
Crunchbase organization should be the company or organization that controls the software. That is normally the owner of the trademark, whether or not a trademark has been formally filed.

If you think your project should be included, please open a pull request to add it to landscape.yml. For the logo, you can either upload an SVG to the hosted_logos directory or put a URL as the value, and it will be fetched.

Netlify will generate a staging server for you to preview your updates. Please check that the logo and information appear correctly and then add LGTM to the pull request confirming your review and requesting a merge.

I thought the authors of this tool could add their great project to the landscape.

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