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> This repository contains examples for the legacy client.<br/>
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> This repository contains examples for the Neptune app version `2.x`, which uses the Python client version `1.x`.<br/>
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> For the new Neptune client examples, go to **[scale-examples →][scale-examples]**
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With Neptune, you can monitor thousands of per-layer metrics—losses, gradients, and activations—at any scale. Visualize them with no lag and no missed spikes. Drill down into logs and debug training issues fast. Keep your model training stable while reducing wasted GPU cycles.<br>
| Track and organize runs |[![docs]](https://docs-legacy.neptune.ai/tutorials/basic_ml_run_tracking)|[![neptune]](https://app.neptune.ai/o/common/org/quickstarts/experiments)|[![github]](how-to-guides/organize-ml-experimentation/scripts/Organize_ML_runs.py)|[![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/how-to-guides/organize-ml-experimentation/notebooks/Organize_ML_runs.ipynb)|
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| Compare datasets between runs |[![docs]](https://docs-legacy.neptune.ai/tutorials/comparing_artifacts)|[![neptune]](https://app.neptune.ai/o/common/org/data-versioning/experiments?compare=IwdgNMQ&split=tbl&dash=artifacts&viewId=2b313653-1aa2-40e8-8bf2-cd13f0f96862)|[![github]](how-to-guides/data-versioning/scripts/Compare_model_training_runs_on_dataset_versions.py)|[![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/how-to-guides/data-versioning/notebooks/Compare_model_training_runs_on_dataset_versions.ipynb)|
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| Resume run or other object |[![docs]](https://docs-legacy.neptune.ai/logging/to_existing_object)||[![github]](how-to-guides/re-run-failed-training/scripts/)|[![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/how-to-guides/re-run-failed-training/notebooks/re_run_failed_training.ipynb)|
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| Use Neptune Legacy in HPO jobs |[![docs]](https://docs-legacy.neptune.ai/tutorials/hpo)|[![neptune]](https://app.neptune.ai/o/showcase/org/hpo/runs/table?viewId=9ca5a860-361e-4b3e-aae8-ddd8c5454cba&detailsTab=dashboard&dash=table&type=run)|[![github]](how-to-guides/neptune-hpo/scripts/Neptune_hpo_single_run.py)|[![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/how-to-guides/neptune-hpo/notebooks/Neptune_hpo.ipynb)|
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| Use Neptune Legacy in pipelines |[![docs]](https://docs-legacy.neptune.ai/usage/best_practices/#pipelining-libraries)|[![neptune]](https://app.neptune.ai/o/common/org/pipelining-support/runs/details?viewId=standard-view&detailsTab=metadata&shortId=PIP-3)|[![github]](how-to-guides/sequential-pipelines/scripts)||
| Use Neptune in HPO jobs |[![docs]](https://docs-legacy.neptune.ai/tutorials/hpo)|[![neptune]](https://app.neptune.ai/o/showcase/org/hpo/runs/table?viewId=9ca5a860-361e-4b3e-aae8-ddd8c5454cba&detailsTab=dashboard&dash=table&type=run)|[![github]](how-to-guides/neptune-hpo/scripts/Neptune_hpo_single_run.py)|[![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/how-to-guides/neptune-hpo/notebooks/Neptune_hpo.ipynb)|
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| Use Neptune in pipelines |[![docs]](https://docs-legacy.neptune.ai/usage/best_practices/#pipelining-libraries)|[![neptune]](https://app.neptune.ai/o/common/org/pipelining-support/runs/details?viewId=standard-view&detailsTab=metadata&shortId=PIP-3)|[![github]](how-to-guides/sequential-pipelines/scripts)||
| Use Neptune Legacy in distributed computing |[![docs]](https://docs-legacy.neptune.ai/usage/best_practices/#distributed-computing)||[![github]](how-to-guides/ddp-training/scripts)||
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| Use Neptune in distributed computing |[![docs]](https://docs-legacy.neptune.ai/usage/best_practices/#distributed-computing)||[![github]](how-to-guides/ddp-training/scripts)||
| Re-run failed training |[![docs]](https://docs-legacy.neptune.ai/tutorials/re-running_failed_training/)|[![neptune]](https://app.neptune.ai/o/common/org/showroom/experiments?split=tbl&dash=charts&viewId=97d6d37e-fcb3-4049-af6a-7d45c9f1478d)|[![github]](how-to-guides/re-run-failed-training/scripts/re_run_failed_training.py)|[![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/how-to-guides/re-run-failed-training/notebooks/re_run_failed_training.ipynb)|
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| Log from sequential pipelines |[![docs]](https://docs-legacy.neptune.ai/tutorials/sequential_pipeline)|[![neptune]](https://app.neptune.ai/o/common/org/pipelining-support/runs/details?viewId=standard-view&detailsTab=metadata&shortId=PIP-3&distraction-free=1)|[![github]](how-to-guides/sequential-pipelines/scripts/run_examples.sh)|
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| DDP training experiments |[![docs]](https://docs-legacy.neptune.ai/tutorials/running_distributed_training)|[![neptune]](https://app.neptune.ai/o/common/org/showroom/experiments?split=tbl&dash=charts&viewId=978feb4d-8f8f-4341-ac50-64e65fbd95bc)|[![github]](how-to-guides/ddp-training/scripts)||
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| Use multiple integrations together |[![docs]](https://docs-legacy.neptune.ai/tutorials/multiple_integrations/)|[![neptune]](https://app.neptune.ai/o/showcase/org/multiple-integrations/runs/details?viewId=standard-view&detailsTab=metadata&shortId=MUL-2&type=run)|[![github]](how-to-guides/multiple-integrations)|[![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/main/how-to-guides/multiple-integrations/notebooks/Multiple_integrations.ipynb)|
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## Legacy use cases
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## Use cases
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| | Neptune Legacy app | GitHub | Colab
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| | Neptune `2.x` app | GitHub | Colab
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| --- | :---: | :---: | :---:
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| Text classification using fastText | [![neptune]](https://app.neptune.ai/o/showcase/org/project-text-classification/experiments?split=tbl&dash=charts&viewId=9728fa69-80e8-4809-8328-7d37fa5de5b1) | [![github]](use-cases/nlp/classification/fasttext/) | [![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/use-cases/nlp/classification/fasttext/code/fasttext_nb.ipynb)
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| Text classification using Keras | [![neptune]](https://app.neptune.ai/o/showcase/org/project-text-classification/experiments?split=tbl&dash=charts&viewId=9827345e-70b8-49ba-bf0d-c67946b18c78) | [![github]](use-cases/nlp/classification/keras/) | [![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/use-cases/nlp/classification/keras/code/keras_nb.ipynb)
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| Text summarization | [![neptune]](https://app.neptune.ai/o/showcase/org/project-text-summarization-hf/experiments?split=tbl&dash=charts&viewId=97370e86-8f87-4cb7-82d1-418296693eb3) | [![github]](use-cases/nlp/summarization)
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| Time series forecasting | [![neptune]](https://app.neptune.ai/o/common/org/project-time-series-forecasting/experiments?split=tbl&dash=charts&viewId=97a244b7-fb23-40a5-a021-261401d4efef) | [![github]](use-cases/time-series-forecasting)
| Import runs from Weights & Biases to Neptune Legacy | [![github]](utils/migration_tools/from_wandb/)
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| Copy runs from one Neptune Legacy project to another | [![github]](utils/migration_tools/from_another_project/)
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| Import runs from Weights & Biases to Neptune | [![github]](utils/migration_tools/from_wandb/)
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| Copy runs from one Neptune project to another | [![github]](utils/migration_tools/from_another_project/)
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| Copy models and model versions from model registry to runs | [![github]](utils/migration_tools/model_registry_to_runs/)
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| Back up run metadata from Neptune Legacy | [![github]](utils/migration_tools/backup_neptune/)
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| Get Neptune Legacy storage per project and user | [![github]](utils/management_tools/Get_storage_used_by_project_user.ipynb) | [![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/utils/management_tools/Get_storage_used_by_project_user.ipynb)
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| Back up run metadata from Neptune | [![github]](utils/migration_tools/backup_neptune/)
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| Get Neptune storage per project and user | [![github]](utils/management_tools/Get_storage_used_by_project_user.ipynb) | [![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/master/utils/management_tools/Get_storage_used_by_project_user.ipynb)
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| Get runs with most fields logged | [![github]](utils/management_tools/Get_runs_with_most_fields.ipynb) | [![colab]](https://colab.research.google.com/github/neptune-ai/examples/blob/main/utils/management_tools/Get_runs_with_most_fields.ipynb)
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## Can't find what you're looking for?
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-[Visit the legacy documentation →](https://docs-legacy.neptune.ai/)
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-[Visit the Neptune `2.x` documentation →](https://docs-legacy.neptune.ai/)
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-[Check out the blog →](https://neptune.ai/blog)
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- Reach out to us at [support@neptune.ai](mailto:support@neptune.ai)
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<!--- Resources -->
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[docs]: https://neptune.ai/wp-content/uploads/2023/06/file_icon.svg"Read the documentation"
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# Back up run metadata from Neptune
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You can use this script to download run metadata from Neptune to your system. Note that this script is currently in beta, and we welcome your feedback and contributions to help improve it.
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You can use this script to download run metadata from Neptune `2.x`to your system. Note that this script is currently in beta, and we welcome your feedback and contributions to help improve it.
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