Project-MONAI / Project-MONAI/tutorials
Add 2D Segmentation Tutorial Using PyTorch Lightning and Weights & Biases to MONAI
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- Dominant language
- Jupyter Notebook
- Stars
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- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
Is your feature request related to a problem? Please describe.
These tutorial aim to reduce boilerplate code while enhancing user experience by providing a clear understanding of how to leverage PyTorch Lightning for structured training processes and W&B for effective monitoring of experiments.
Describe the solution you'd like
A sample notebook for 2D segmentation task utilizing PyTorch Lightning and Weights & Biases (W&B) within the MONAI framework.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by locating the repository's existing MONAI tutorial notebooks and 2D segmentation examples, then add a sample notebook demonstrating structured training with PyTorch Lightning and experiment monitoring with Weights & Biases; done means the notebook provides a clear, usable 2D segmentation workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100