ml-config-manager

Name: ml-config-manager
Author: nishide-dev

Generate and manage Hydra configuration files for machine learning experiments. Use when creating new configs (model, data, trainer, logger, experiment, sweep), organizing config hierarchies, or setting up hyperparameter sweeps with Optuna.

0stars

Updated 2 months ago

View on GitHub ↗License: MIT

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/plugin marketplace add nishide-dev/claude-code-ml-research

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ML Configuration Management

Generate and manage Hydra configuration files for machine learning experiments with PyTorch Lightning.

Quick Reference

Template Files Available:

templates/model-config.yaml - Model architecture configuration
templates/data-config.yaml - Dataset and DataLoader configuration
templates/trainer-config.yaml - PyTorch Lightning Trainer configuration
templates/experiment-config.yaml - Complete experiment composition
templates/gnn-config.yaml

[Description truncada. Veja o README completo no GitHub.]

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