Neptune.ai | Metadata Store for MLOps

By neptune.ai - 2021-03-19

Description

How to Organize Your XGBoost #MachineLearning Model Development Process - Best Practices -

Summary

  • See what our users are saying “What we like about Neptune is that it easily hooks into multiple frameworks.
  • Ondřej Cífka PhD student in Music Information Processing at Télécom Paris “Within the first few tens of runs, I realized how complete the tracking was – not just one or two numbers, but also the exact state of the code, the best-quality model snapshot stored to the cloud, the ability to quickly add notes on a particular experiment.
  • Visualization of the logged data could be improved, support for more advanced plotting would be nice, altough you can alway workaround that by sending pictures of charts.
  • If you look for a simple, flexible and powerfull tool or you are tired of using excel sheets or tensorboard to track your results, neptune.ai is a good bet.

 

Topics

  1. Machine_Learning (0.33)
  2. Backend (0.31)
  3. Management (0.14)

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