Important: This video was created in October 2021. For the most up-to-date code examples, please refer to the Neptune-Sacred integration docs.
What will you get with this integration?
Sacred is a tool to configure, organize, log, and reproduce computational experiments. It is designed to introduce only minimal overhead, while encouraging modularity and configurability of experiments.
With Neptune + Sacred integration the following metadata will be logged automatically for you:
- Hyper-parameters
- Losses & metrics
- Training code (Python scripts or Jupyter notebooks) and git information
- Dataset version
- Model configuration
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 Sacred integration guide.
More about How to Streamline Your Workflows: Sacred + neptune.ai Integration
See also
Train, Track, and Deploy Your Models: Neptune + Modelbit Integration
See also
.upload(“product_updates_september_2023”)
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
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