Cadene / Cadene/pretrained-models.pytorch
Why not collect some loss functions?
Open
enhancement
- Dominant language
- Python
- Stars
- 9.1k
- Forks
- 1.8k
- PR merge metrics
- No merged PRs in 30d
Description
I don't know what to say to thank you for this project, it helps a lot of people, and I would like to suggest, if you can, collecting some loss functions will make it more perfect!
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue suggests collecting loss functions but names no specific functions, files, entry points, API, or tests. First clarify which loss functions and how they should fit the pretrained-models.pytorch project; done criteria should specify the collection's scope, integration point, and validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100