https://github.com/neptune-ai/neptune-fastai
Experiment tracking for fastai. 🧩 Log, organize, visualize and compare model metrics, hyperparameters, dataset versions, and more.
https://github.com/neptune-ai/neptune-fastai
callback dashboard dl fastai management metrics models monitoring tracker training visualization
Last synced: 6 months ago
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Experiment tracking for fastai. 🧩 Log, organize, visualize and compare model metrics, hyperparameters, dataset versions, and more.
- Host: GitHub
- URL: https://github.com/neptune-ai/neptune-fastai
- Owner: neptune-ai
- License: apache-2.0
- Created: 2021-05-31T10:23:54.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-08-17T11:38:02.000Z (about 2 years ago)
- Last Synced: 2025-04-05T22:25:42.998Z (7 months ago)
- Topics: callback, dashboard, dl, fastai, management, metrics, models, monitoring, tracker, training, visualization
- Language: Python
- Homepage: https://docs.neptune.ai/integrations/fastai/
- Size: 133 KB
- Stars: 4
- Watchers: 9
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# Neptune + fastai integration
Experiment tracking for fastai-trained models.
## 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, architecture, and weights
* [Other metadata](https://docs.neptune.ai/logging/what_you_can_log)
*Example dashboard with train-valid metrics and selected parameters*
## Resources
* [Documentation](https://docs.neptune.ai/integrations/fastai)
* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/fastai/scripts)
* [Example dashboard in the Neptune app](https://app.neptune.ai/o/common/org/fastai-integration/runs/details?viewId=standard-view&detailsTab=dashboard&dashboardId=fastai-dashboard-1f456716-f509-4432-b8b3-a7f5242703b6&shortId=FAS-1895&type=run)
* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/main/integrations-and-supported-tools/fastai/notebooks/Neptune_fastai.ipynb)
## Example
On the command line:
```
pip install neptune-fastai
```
In Python:
```python
import neptune
# Start a run
run = neptune.init_run(
project="common/fastai-integration",
api_token=neptune.ANONYMOUS_API_TOKEN,
)
# Log a single training phase
learn = learner(...)
learn.fit(..., cbs = NeptuneCallback(run=run))
# Log all training phases of the learner
learn = cnn_learner(..., cbs=NeptuneCallback(run=run))
learn.fit(...)
learn.fit(...)
# Stop the run
run.stop()
```
## 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 support@neptune.ai