Extract and compare metrics from Weights & Biases experiment runs.
npx skills add https://github.com/dongzhuoyao/deepresearch --skill wandb-analysis
Please help me install this Agent Skill. Skill: wandb-analysis Source: https://github.com/dongzhuoyao/deepresearch/tree/main/.codex/skills/wandb-analysis Command: npx skills add https://github.com/dongzhuoyao/deepresearch --skill wandb-analysis
Manually reviewing and comparing Weights & Biases experiment runs to extract metrics, verify results, and generate analysis outputs is slow, error-prone, and difficult to scale when working with large numbers of runs, sweeps, or ablation studies.
Use the wandb-analysis skill to pull final accuracy metrics for all finished runs in your W&B project and generate a sorted comparison table for your experiment report.
High-intent search queries and answers about installing and using this skill.
To extract and compare W&B experiment metrics, programmatically query the W&B API to pull final values across runs, compare hyperparameters or seeds, and generate sorted comparison tables for papers or reports.
Yes, ablation study analysis supports isolating component contributions via grouped runs and running statistical significance tests across multiple seeds to validate experiment results.
The best way to export W&B run data for offline plotting is to use automated extraction to pull metrics and export the data to standard CSV or JSON formats.
Hyperparameter sweep analysis identifies top configurations by programmatically querying the W&B API to aggregate metrics across runs and isolate the best performing parameter settings.
Result verification cross-checks reported metrics against actual logged W&B values and validates git provenance to ensure your reported results match the correct code version.
NITISH-gitbitAutomate ML experiment tracking and model versioning with Weights & Biases.
jandan138Generate publication-ready plots and LaTeX tables from structured experiment data.
ovachieverAutomate ML experiment tracking and model registry management via the wandb API.
jackspaceAnalyze datasets to generate statistical summaries, visualizations, and markdown reports.
