neptune.ai Scale 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 tutorials and examples of using Neptune Scale.

Note

These examples only work with the neptune-scale Python client, which is in beta.

You can't use these with the stable Neptune 2.x versions currently available to SaaS and self-hosting customers. For examples corresponding to Neptune 2.x, see https://github.com/neptune-ai/examples.

🎓How-to guides

👶 First steps

	Docs	Neptune
Quickstart
Track and organize runs

🧑 Deeper dive

	Docs	Neptune	GitHub	Colab
Resume run or other object
Use Neptune in HPO jobs

🛠️ Other utilities

🧳 Migration tools

	GitHub
Import runs from Weights & Biases

🔍 Cannot find what you are looking for?

Check out our docs, our blog, or reach out to us at support@neptune.ai.