anyone reproduce paper results？
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- python
- Domain
- documentation, machine-learning
Research direction
No files, tests, or entry points are identified. Start by reading the paper and the repository's available experiment instructions, then determine the data, batch size, GPU setup, and other details needed to reproduce the reported results; done means those reproduction details are documented.
Written by the indexing model from the issue text.
Description
Has anyone reproduce paper results？ if so, please introduce the details(e.g. data, batchsize, GPUs……)， thanks！
- Dominant language
- Python
- Stars
- 426
- Forks
- 17
- 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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