ml-experiment-runner
Run ML/deep learning experiments on Modal with robust error handling, W&B logging, and thorough documentation. Use when asked to: (1) Run an experiment, (2) Implement experiment handlers, (3) Fix and re-run failed sub-experiments, (4) Update findings after experiments complete. Emphasizes showing work, error recovery, and acting as a collaborative research colleague. Works with research_plan.yaml → handlers → results.yaml → FINDINGS.md workflow.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
Fonctions et usage
Run ML/deep learning experiments on Modal with robust error handling, W&B logging, and thorough documentation. Use when asked to: (1) Run an experiment, (2) Implement experiment handlers, (3) Fix and re-run failed sub-experiments, (4) Update findings after experiments complete. Emphasizes showing work, error recovery, and acting as a collaborative research colleague. Works with research_plan.yaml → handlers → results.yaml → FINDINGS.md workflow.
Démarrage rapide
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Guides ↗Exemples
Consultez les exemples du dépôt source.
Voir la source ↗Historique source
- Date d’indexation
- 2026-01-22
- Mise à jour de l’index
- 2026-03-04
- Branch
- main
Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.
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