ml-validate

Name: ml-validate
Author: nishide-dev

Comprehensive validation of ML project structure, configurations, code quality, and training readiness. Use when setting up a new project, before training runs, or debugging configuration issues. Validates config loading, data pipeline, model architecture, and dependencies.

0stars

Updated 2 months ago

View on GitHub ↗License: MIT

How to add

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

The exact command may vary by repository. Check the README on GitHub.

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ML Project Validation

Comprehensive validation of ML project structure, configurations, code quality, and training readiness.

Quick Start

# Run full validation
python scripts/validate_project.py

# Quick config check
python src/train.py --cfg job

# Fast dev run (1 batch train/val/test)
python src/train.py trainer.fast_dev_run=true

Validation Checks

1. Project Structure

Required directories:

src/ - Source code
src/models/ - Model implementations
`src/

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

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