neptune.ai Scale examples
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.
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.
| Docs | Neptune | GitHub | Colab | |
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| Quickstart |  |
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| Track and organize runs | |
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| Docs | Neptune | GitHub | Colab | |
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| Resume run or other object | |
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| Use Neptune in HPO jobs | |
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Check out our docs, our blog, or reach out to us at [email protected].