Examples

Getting started

Try the Hello World example
Docs
Neptune
GitHub
Colab

Experiment tracking

Organize ML experiments
Docs
Neptune
GitHub
Colab

Model registry

Log model building metadata
Docs

Model monitoring

Monitor ML model training runs live
Docs
Neptune
GitHub
Colab

Data versioning

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Docs
Neptune
GitHub
Colab
Version datasets in model training runs
Compare datasets between runs

Neptune API

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Docs
Resume run
Pass Run object between files
Use Neptune in distributed computing
Use Neptune in parallel computing
Use Neptune in Pipelines
Log to multiple runs in one script

Neptune UI

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Docs
Neptune Query Language
GroupBy on runs
Sorting

Integrations and supported tools

Languages

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Docs
Neptune
GitHub
Colab
Python
R

Model training

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Docs
Neptune
GitHub
Colab
Catalyst
fastai
lightGBM
PyTorch
PyTorch Ignite
PyTorch Lightning
Scikit-learn
skorch
TensorFlow/Keras
XGBoost

Hyperparameter optimization

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Docs
Neptune
GitHub
Colab
Keras Tuner
Optuna
Scikit Optimize

Model visualization and debugging

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Docs
Neptune
GitHub
Colab
Altair
Bokeh
Dalex
HTML
Matplotlib
Pandas
Plotly

Experiment tracking

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Docs
Neptune
GitHub
Colab
MLflow
Sacred
TensorBoard

IDEs and notebooks

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Docs
Neptune
GitHub
Colab
Any IDE
Amazon SageMaker notebooks
Deepnote
Google Colab
Jupyter Notebook and Jupyter Lab

Data versioning

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Docs
AWS S3
Data Version Control (DVC)
Local filesystem

Continuous Integration and Delivery (CI/CD)

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Docs
GitHub Actions

What's next?