add tune example
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, pytorch
- Domain
- machine-learning
Research direction
Start by reviewing the repository's existing examples and the linked Ax/Ray, MLflow/Ax, and NAS references. Add a tuning example that fits the tutorial structure and uses the requested approaches; done means the example is included and usable by following the project’s existing conventions.
Written by the indexing model from the issue text.
Description
Add a tune example usign Ax and Ray
ax with ray: https://ax.dev/tutorials/raytune_pytorch_cnn.html
mlflow with ax: https://github.com/mlflow/mlflow/tree/master/examples/pytorch/AxHyperOptimizationPTL
NAS
https://pytorch.org/blog/effective-multi-objective-nueral-architecture/
- Dominant language
- Python
- Stars
- 1
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
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