Weights & Biases for ML Experiment Tracking
Overview
Weights & Biases (W&B) is the industry-standard platform for ML experiment tracking, visualization, and model management. It provides cloud-based (or self-hosted) infrastructure for logging experiments, running hyperparameter sweeps, managing artifacts, and tracking model lineage from research to production.
Key Capabilities:
- Automatic experiment tracking (metrics, hyperparameters, system resources)
- Hyperparameter optimization
[Description truncada. Veja o README completo no GitHub.]