wandb-csv
CommunityTrack W&B experiment results with a CSV ledger
Education & Research#csv#experiment tracking#wandb#ml experiments#dryrun#results ledger#hyperparameter comparison
Authordongzhuoyao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the problem of W&B experiment results being tied to transient UI state and console logs that may be lost or hard to compare across runs, by maintaining a durable workspace-local CSV ledger for all experiment outcomes.
Core Features & Use Cases
- Consistent Schema Enforcement: Uses a predefined set of required columns including experiment version tracking to prevent stale or inconsistent data entry.
- Multi-Scenario Support: Handles logging for full runs, dryruns, and multiple hyperparameter variants, with clear rules to avoid confusing dryrun metrics with full-run results.
- Cross-Run Comparison: Enables easy side-by-side comparison of experiment variants without relying on the W&B UI, by reading directly from the local CSV ledger. Use Case: When running a grid of 10 hyperparameter variants for a computer vision training experiment, use this Skill to log each variant's FID and BPD metrics to the CSV ledger for instant comparison and reporting.
Quick Start
Use the wandb-csv skill to log the latest training run's metrics to the project's experiment results CSV ledger.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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-csv Download link: https://github.com/dongzhuoyao/deepresearch/archive/main.zip#wandb-csv Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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