nv-generate-mr-brain-finetune
CommunityWraps MR-brain diffusion finetuning workflow.
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Engineering-time wrapper for NVIDIA NV-Generate-CTMR MR-brain diffusion UNet finetuning; it validates a MONAI-style datalist, stages the required configs and outputs, and delegates execution to upstream scripts.
Core Features & Use Cases
- Validates MONAI-style datalist and ensures paths are correct before training.
- Stages environment/config JSONs and orchestrates the upstream workflow (create_training_data, train, and optional infer).
- Produces artifacts like finetuned_checkpoint, optional inference outputs, and a workflow_summary for traceability.
- Use case: a dev or ML engineer quickly preflight and run finetuning on MRI datasets with minimal setup.
Quick Start
Run the wrapper with your datalist and an output directory to stage configs and execute the upstream finetuning workflow.
Dependency Matrix
Required Modules
nibabelnumpytorchmonai
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nv-generate-mr-brain-finetune Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#nv-generate-mr-brain-finetune Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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