nv-generate-vae-finetune
CommunityFine-tune NV-Generate VAE for CT/MRI data
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Train and tailor the NV-Generate-CTMR MAISI VAE for CT/MRI datasets by wrapping upstream configs, validating datasets, and staging runs, enabling engineering teams to run finetuning without duplicating boilerplate.
Core Features & Use Cases
- Stages upstream VAE finetuning workflows and datalist contracts, providing ready-to-run configuration scaffolding.
- Validates MONAI-style datalists (training and validation), resolves absolute image paths, and prepares staged artifacts for training.
- Use Case: researchers can quickly prototype finetuning on CT and MRI volumes and compare results across different settings using a single, repeatable wrapper.
Quick Start
Invoke this skill with a MONAI-style datalist and a data-base directory to stage the VAE finetuning workflow and run the training pipeline.
Dependency Matrix
Required Modules
nibabelnumpytorchmonaiscipyscikit-imageeinopshuggingface_hubtqdmfiretensorboardlpipsPyYAML
Components
scripts
💻 Claude Code Installation
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Please help me install this Skill: Name: nv-generate-vae-finetune Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#nv-generate-vae-finetune Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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