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

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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

This repo contains tutorials and examples of how to use Neptune.

Docs Neptune GitHub Colab
Quickstart docs-icon neptune-icon github-icon colab-icon
Log different types of metadata docs-icon neptune-icon
Organize and filter runs docs-icon neptune-icon
Resume run or other object docs-icon
Use Neptune in HPO jobs docs-icon neptune-icon github-icon colab-icon

Migration tools

Docs GitHub
Import runs from Weights & Biases docs-icon github-icon
Migrate code from Neptune Legacy client docs-icon

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