# Neptune + fastai integration
Experiment tracking, model registry, data versioning, and live model monitoring for fastai trained models.
## What will you get with this integration?
* Log, display, organize, and compare ML experiments in a single place
* Version, store, manage, and query trained models, and model building metadata
* Record and monitor model training, evaluation, or production runs live
## 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
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"description": "# Neptune + fastai integration\n\nExperiment tracking, model registry, data versioning, and live model monitoring for fastai trained models.\n\n## What will you get with this integration?\n\n* Log, display, organize, and compare ML experiments in a single place\n* Version, store, manage, and query trained models, and model building metadata\n* Record and monitor model training, evaluation, or production runs live\n\n## What will be logged to Neptune?\n\n* Hyperparameters\n* Losses and metrics\n* Training code (Python scripts or Jupyter notebooks) and Git information\n* Dataset version\n* Model configuration, architecture, and weights\n* [Other metadata](https://docs.neptune.ai/logging/what_you_can_log)\n\n\n*Example dashboard with train-valid metrics and selected parameters*\n\n\n## Resources\n\n* [Documentation](https://docs.neptune.ai/integrations/fastai)\n* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/fastai/scripts)\n* [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)\n* [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)\n\n## Example\n\nOn the command line:\n\n```\npip install neptune-fastai\n```\n\nIn Python:\n\n```python\nimport neptune\n\n# Start a run\nrun = neptune.init_run(\n project=\"common/fastai-integration\",\n api_token=neptune.ANONYMOUS_API_TOKEN,\n)\n\n# Log a single training phase\nlearn = learner(...)\nlearn.fit(..., cbs = NeptuneCallback(run=run))\n\n# Log all training phases of the learner\nlearn = cnn_learner(..., cbs=NeptuneCallback(run=run))\nlearn.fit(...)\nlearn.fit(...)\n\n# Stop the run\nrun.stop()\n```\n\n## Support\n\nIf you got stuck or simply want to talk to us, here are your options:\n\n* Check our [FAQ page](https://docs.neptune.ai/getting_help)\n* You can submit bug reports, feature requests, or contributions directly to the repository.\n* 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),\n* You can just shoot us an email at support@neptune.ai\n\n",
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