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By orchestra-research

weights-and-biases

orchestra-research926 installs

Track your ML experiments in one dashboard.

What it does

Helps users track ML training runs, compare results, tune hyperparameters, and version datasets and models in W&B.

When to use it

Use when tracking experiments, visualizing training, comparing runs, optimizing hyperparameters, or managing model and dataset lineage.

How to use it

Give it an ML training project; it records experiment configuration and training metrics in W&B.

What you provide

  • An existing project

Uses

Latest review

What you need · 3

The tracking examples run as Python code.

Uses the wandb Python package, which the skill declares as a dependency and provides an installation command for.


Access · 2

This skill

W&B

Write

Uploads experiment data to W&B

wandb

Execute

Installs the wandb package