Weights And Biases
원문: weights-and-biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
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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) with lineage Users : 200,000+ ML practitioners | GitHub Stars : 10.5k+ | Integrations : 100+ Installation Quick Start Basic Experiment Tracking With PyTorch Core Concepts 1. Projects and Runs Project : Collection of related experiments Run : Single…
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