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
Example dashboard with train-valid metrics and selected parameters
Resources
- Documentation
- Code example on GitHub
- Example dashboard in the Neptune app
- Run example in Google Colab
Example
On the command line:
pip install neptune-fastai
In 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
- 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
Metadata
Release files for neptune-fastai 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| neptune_fastai-1.1.1.tar.gz | 11.3 kB | Without provenance | Details for neptune_fastai-1.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| neptune_fastai-1.1.1-py3-none-any.whl | Python 3 | none | any | Details for neptune_fastai-1.1.1-py3-none-any.whl |
Total release size: 24.0 kB
Release files / neptune_fastai-1.1.1.tar.gz
| Download URL | neptune_fastai-1.1.1.tar.gz |
|---|---|
| Size | 11.3 kB |
| Tags | Source |
|
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
Release files / neptune_fastai-1.1.1-py3-none-any.whl
| Download URL | neptune_fastai-1.1.1-py3-none-any.whl |
|---|---|
| Size | 12.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
Security for neptune-fastai 1.1.1
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