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Share your thoughts about how to improve Neptune.

Hi, here is Kamil (Data Scientist and Product Owner), feel free to share your thoughts about how we can improve Neptune. Ideas, feature requests, documentation missing pieces - all feedback is welcome :)

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New blog post about experiment management (with Neptune)

I've just written a blog post on why I think treating data science like software engineering is suboptimal and how thinking of experiment management as something a bit different can be a step in the right direction. Anyhow, I would really love to get your feedback on…

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Integration with Sacred

For those of you interested, I've added integration with Sacred via so-called Observer object to neptune-contrib. As usually with Neptune, integrations are simple. Just add the following to your code: Check out the docs and comment if you end up using it!

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`send_artifact`: choose the new name of the file sent

Hi, could you guys please consider extending send_artifact to have a possibility to choose the new name of the file sent?

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can not upload source files with folder structure

I am not sure if it is the right way to do, but if I am trying to upload multiple source files with code below - no files get uploaded, not even the current file: where get_filepaths('.') is taken from neptune codebase and returns the next list: …

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diff for source code or parameters

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Neptune in shared environment and computational resources

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I would like to see development plans to avoid duplicate feature-requests.

Some tracking system with future milestones and release dates. It helps with beta-testing for new functionality as well.

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Experiments tab updating slowly

I'm running some experiments, which finish quickly. However, the results from some of them are updating slowly on the experiments tab, even if in the specific experiment I can already see the metrics in the results. Is this normal?

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Uploading Tensorboards through code/programmatically.

Is there a way to upload Tensorboards through code/programmatically? We upload most of our results after the experiments have finished through the Python client. Would be great to do this for tensorboards as well. How can I do that?

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Looks like you got ahead of me ;)

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