pymc-devs / pymc-devs/pytensor-ml
Implement RAdam optimizer
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 9
- Forks
- 7
- Avg merge
- 6h 55m
- Merged PRs (30d)
- 40
Description
Rectified Adam: variance-rectified adaptive step size, see torch.optim.RAdam.
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.
Research direction
Start with the linked torch.optim.RAdam documentation to understand the intended behavior, then inspect the repository for existing optimizer entry points and related tests. Done means a Python RAdam optimizer is implemented with behavior matching the cited reference; the issue names no specific file or test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100