W&B

Weights & Biases (W&B) is a platform for tracking and visualizing machine learning experiments. Data scientists and ML engineers use it to monitor model performance, compare different runs, and collaborate on projects. It helps streamline the ML development workflow and improve model reproducibility.

Official docs: https://docs.wandb.ai/ref/python

W&B Overview

• Run
  • Metric
• Project
• Artifact
• User
• Workspace

Use action names and parameters as needed.

Working with W&B