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Use case tutorials#

The following tutorials describe some more specific use cases that you may find helpful.

  • Reproducibility

    • Reproduce a run – you can reproduce any run by retrieving its metadata and logging it into a newly created run.
    • Restart a run from a checkpoint – save checkpoints and, when necessary, resume the run from them.
    • Re-run a failed training – model training runs don't always go as planned. Learn how to fetch the parameters and metadata of a failed Neptune run and use them for a new run.

The related Colab notebooks and all necessary scripts are located in our GitHub examples repository.

Visit examples repo