Project-MONAI / Project-MONAI/MONAI
Add the predictor-based search algorithm
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- Dominant language
- Python
- Stars
- 8.7k
- Forks
- 1.6k
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 20
Description
Is your feature request related to a problem? Please describe.
Transformer-based AutoML algorithm for almost all possible components in training pipeline of segmentation tasks.
Describe the solution you'd like
Add the predictor-based search algorithm with all possible components (neural architecture, hyper-parameters, data augmentation, etc.) in training pipeline of segmentation tasks.
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
The issue names no files, tests, or entry points; begin by surveying the existing segmentation training pipeline and any search-related components. Done would require a predictor-based search algorithm covering neural architecture, hyperparameters, and data augmentation across that pipeline, with validation of the resulting behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100