/examples

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Primary LanguageJupyter NotebookMIT LicenseMIT

 

neptune.ai examples

What is neptune.ai?

Neptune is an experiment tracker purpose-built for foundation model training.

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.

📚Examples

In this repo, you'll find examples of using Neptune to log and retrieve your ML metadata.

You can run every example with zero setup (no registration needed).

🎓How-to guides

👶 First steps

Docs Neptune GitHub Colab
Quickstart docs neptune github colab
Track and organize runs docs neptune github colab
Monitor runs live docs neptune github colab

🧑 Deeper dive

Docs Neptune GitHub Colab
Version datasets in runs docs neptune github colab
Programmatically manage projects docs github colab
Compare datasets between runs docs neptune github colab
Resume run or other object docs github colab
Use Neptune in HPO jobs docs neptune github colab
Use Neptune in pipelines docs neptune github
Reproduce Neptune runs docs neptune github colab
Restart runs from checkpoint docs neptune github colab
Use Neptune in distributed computing docs github
Track models end-to-end docs neptune github colab

👨 Advanced concepts

Docs Neptune GitHub Colab
Re-run failed training docs neptune github colab
Log from sequential pipelines docs neptune github
DDP training experiments docs neptune github
Use multiple integrations together docs neptune github colab

👑 Use cases

Neptune GitHub Colab
Text classification using fastText neptune github colab
Text classification using Keras neptune github colab
Text summarization neptune github
Time series forecasting neptune github

🧩Integrations and supported tools

Docs Neptune GitHub Colab
Airflow docs neptune github
Altair docs neptune github colab
Amazon SageMaker (custom Docker containers) docs neptune github
Amazon SageMaker (PyTorch Estimator) docs neptune github
Azure ML docs neptune github
Bokeh docs neptune github colab
Catalyst docs neptune github colab
CatBoost docs neptune github colab
DALEX docs neptune github colab
Detectron2 docs neptune github colab
Docker docs neptune github
Evidently docs neptune github colab
fastai docs neptune github colab
Folium (Leaflet) docs neptune github colab
GitHub Actions docs github
Google Colab docs neptune github colab
Great Expectations docs neptune github colab
HTML docs neptune github colab
Kedro docs neptune github
Keras docs neptune github colab
lightGBM docs neptune github colab
Matplotlib docs neptune github colab
MLflow docs neptune github colab
MosaicML Composer docs neptune github colab
Optuna docs neptune github colab
pandas docs neptune github colab
Plotly docs neptune github colab
Prophet docs neptune github colab
Python docs neptune github colab
PyTorch docs neptune github colab
PyTorch Ignite docs neptune github colab
PyTorch Lightning docs neptune github colab
R docs github
Sacred docs neptune github colab
scikit-learn docs neptune github colab
Seaborn docs neptune github colab
skorch docs neptune github colab
TensorBoard docs neptune github colab
TensorFlow docs neptune github colab
🤗 Transformers docs neptune github colab
XGBoost docs neptune github colab
ZenML docs neptune github

🛠️ Other utilities

🧳 Migration tools

GitHub
Import runs from Weights & Biases github
Copy runs from one Neptune project to another github
Copy models and model versions from model registry to runs github
Back up run metadata from Neptune github

💼 Management utilities

GitHub Colab
Get Neptune storage per project and user github colab
Get runs with most fields logged github colab

🔍 Cannot find what you are looking for?

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