Here’s a public Neptune+Bokeh example project to give you a taste of neptune.ai’s API and the app, as well as show you how the Neptune+Bokeh support works.
You can just open the project and play with the app, no registration is needed. And if you want to see the code behind it, go to the example’s GitHub repo.
neptune.ai is an MLOps stack component for experiment tracking. So we’re constantly working on making it easy to integrate with other parts of the workflow.
It is already integrated with 25+ tools and libraries, and the list is growing. You can check our roadmap to see what’s currently under development.
Other useful resources
Check the Neptune+Bokeh support docs.
See other public example projects in Neptune.
Learn what other tools and libraries Neptune integrates with.
More about Model Visualization and Debugging: Bokeh + neptune.ai [Example]
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
See also
Model Training: Prophet + neptune.ai Integration [Example]
See also
Create AzureML Pipeline – Workshop with Aurimas Griciūnas
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