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## neptune-pytorch 0.1.0 (initial release) | ||
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### Features | ||
- Create `NeptuneLogger` for logging metadata (https://github.com/neptune-ai/neptune-pytorch/pull/1) |
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# Neptune + PyTorch integration | ||
# Neptune - PyTorch integration | ||
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Experiment tracking, model registry, data versioning, and live model monitoring for Keras trained models. | ||
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## What will you get with this integration? | ||
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* 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 | ||
* Collaborate with a team | ||
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## What will be logged to Neptune? | ||
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* hyperparameters for every run, | ||
* learning curves for losses and metrics during training, | ||
* hardware consumption and stdout/stderr output during training, | ||
* PyTorch tensors as images to see model predictions live, | ||
* training code and Git commit information, | ||
* model weights, | ||
* [other metadata](https://docs.neptune.ai/logging/what_you_can_log) | ||
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![image](https://user-images.githubusercontent.com/97611089/160638338-8a276866-6ce8-4d0a-93f5-bd564d00afdf.png) | ||
*Example charts in the Neptune UI with logged accuracy and loss* | ||
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## Resources | ||
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* [Documentation](https://docs.neptune.ai/integrations/pytorch) | ||
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## Example | ||
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On the command line: | ||
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``` | ||
pip install neptune-pytorch neptune | ||
``` | ||
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In Python: | ||
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```python | ||
import neptune | ||
from neptune.integrations.pytorch import NeptuneLogger | ||
from neptune import ANONYMOUS_API_TOKEN | ||
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# Start a run | ||
run = neptune.init_run( | ||
project="common/pytorch-integration", | ||
api_token=ANONYMOUS_API_TOKEN, | ||
) | ||
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# Create a NeptuneCallback instance | ||
neptune_logger = NeptuneLogger(run=run, base_namespace="training") | ||
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# Stop the run | ||
run.stop() | ||
``` | ||
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## Support | ||
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If you got stuck or simply want to talk to us, here are your options: | ||
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* 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 | ||
See [the official docs](https://docs.neptune.ai/integrations-and-supported-tools/model-training/). |