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weights-and-biases

mlops › evaluation › weights-and-biases v1.0.0
MLOps Weights And Biases WandB Experiment Tracking Hyperparameter Tuning Model Registry Collaboration Real-Time Visualization PyTorch TensorFlow HuggingFace

Description

W&B: log ML experiments, sweeps, model registry, dashboards.

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W&B: log ML experiments, sweeps, model registry, dashboards.

SKILL.md Preview

# Weights & Biases: ML Experiment Tracking & MLOps

## When to Use This Skill

Use Weights & Biases (W&B) when you need to:
- **Track ML experiments** with automatic metric logging
- **Visualize training** in real-time dashboards
- **Compare runs** across hyperparameters and configurations
- **Optimize hyperparameters** with automated sweeps
- **Manage model registry** with versioning and lineage
- **Collaborate on ML projects** with team workspaces
- **Track artifacts** (datasets, models, code)

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