wandb
CommunityTrack ML experiments, artifacts, and models.
Data & Analytics#wandb#experiment-tracking#model-registry#artifact-management#ml-ops#hyperparameter-sweeps#metrics-logging
Authortylertitsworth
Version1.0.0
Installs0
System Documentation
What problem does it solve?
W&B provides unified tracking, artifact versioning, and a model registry to streamline ML workflows across teams and environments.
Core Features & Use Cases
- Experiment tracking with metrics, logs, and dashboards across PyTorch, HuggingFace, Lightning, and Ray Train.
- Artifact versioning, data lineage, and a model registry for reproducible experiments and deployment readiness.
- Public API access, sweeps, run grouping, and artifact logging to support scalable ML operations.
Quick Start
Start a wandb run in your training script to log metrics, artifacts, and model versions.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: wandb Download link: https://github.com/tylertitsworth/skills/archive/main.zip#wandb Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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