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๐Ÿ“ Examples of how to use Neptune for different use cases and with various MLOps tools

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neptune.ai Scale examples

What is neptune.ai?

Neptune is the most scalable experiment tracker for teams that train foundation models.

Log millions of runs, view and compare them all in seconds. Effortlessly monitor and visualize months-long model training with multiple steps and branches.

Deploy Neptune on your infra from day one, track 100% of your metadata and get to the next big AI breakthrough faster. ย 

๐Ÿ“šExamples

In this repo, you'll find tutorials and examples of using Neptune Scale.

Note

These examples only work with the neptune-scale Python client, which is in beta.

You can't use these with the stable Neptune 2.x versions currently available to SaaS and self-hosting customers. For examples corresponding to Neptune 2.x, see https://github.com/neptune-ai/examples.

๐ŸŽ“How-to guides

๐Ÿ‘ถ First steps

Docs Neptune GitHub Colab
Quickstart docs
Track and organize runs docs neptune

๐Ÿง‘ Deeper dive

Docs Neptune GitHub Colab
Resume run or other object docs
Use Neptune in HPO jobs neptune github colab

๐Ÿ” Cannot find what you are looking for?

Check out our docs, our blog, or reach out to us at [email protected].