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https://github.com/neptune-ai/neptune-sacred
Sacred-compatible UI for experiment tracking. 📊 Log and visualize machine learning model metrics, hyperparameters, code, dataset versions, and more.
https://github.com/neptune-ai/neptune-sacred
compare dashboard filter frontend management metadata mlops observer sacred sacredboard
Last synced: 10 days ago
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Sacred-compatible UI for experiment tracking. 📊 Log and visualize machine learning model metrics, hyperparameters, code, dataset versions, and more.
- Host: GitHub
- URL: https://github.com/neptune-ai/neptune-sacred
- Owner: neptune-ai
- License: apache-2.0
- Created: 2021-05-10T21:19:35.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-06-29T10:23:30.000Z (5 months ago)
- Last Synced: 2024-10-05T02:17:31.884Z (about 1 month ago)
- Topics: compare, dashboard, filter, frontend, management, metadata, mlops, observer, sacred, sacredboard
- Language: Python
- Homepage: https://docs.neptune.ai/integrations/sacred/
- Size: 93.8 KB
- Stars: 5
- Watchers: 8
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# Neptune + Sacred Integration
Neptune is a lightweight experiment tracker that offers a single place to track, compare, store, and collaborate on experiments and models.
This integration lets you use Neptune as a UI for the experiments you track in Sacred.
## What will you get with this integration?
* Log, organize, visualize, and compare ML experiments in a single place
* Monitor model training live
* Version and query production-ready models and associated metadata (e.g., datasets)
* Collaborate with the team and across the organization
## What will be logged to Neptune?
* Hyperparameters
* Losses and metrics
* Training code (Python scripts or Jupyter notebooks) and Git information
* Dataset version
* Model configuration
* [Other metadata](https://docs.neptune.ai/logging/what_you_can_log)
## Resources
* [Documentation](https://docs.neptune.ai/integrations/sacred)
* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/sacred/scripts)
* [Example dashboard in the Neptune app](https://app.neptune.ai/o/common/org/sacred-integration/e/SAC-1341/dashboard/Sacred-Dashboard-6741ab33-825c-4b25-8ebb-bb95c11ca3f4)
* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/main/integrations-and-supported-tools/sacred/notebooks/Neptune_Sacred.ipynb)
## Example
On the command line:
```
pip install neptune-sacred
```
In Python:
```python
import neptune
# Start a run
run = neptune.init_run(
project = "common/sacred-integration",
api_token = neptune.ANONYMOUS_API_TOKEN,
)
# Create a Sacred experiment
experiment = Experiment("image_classification", interactive=True)
# Add NeptuneObserver and run the experiment
experiment.observers.append(NeptuneObserver(run=run))
experiment.run()
```
## Support
If you got stuck or simply want to talk to us, here are your options:
* Check our [FAQ page](https://docs.neptune.ai/getting_help)
* You can submit bug reports, feature requests, or contributions directly to the repository.
* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP),
* You can just shoot us an email at [email protected]