ByteDance-Seed / ByteDance-Seed/Depth-Anything-3
How to calculate the ray loss LM
Open
- Dominant language
- Python
- Stars
- 6.3k
- Forks
- 702
- PR merge metrics
- No merged PRs in 30d
Description
The paper didn't mention how LM is calculated. Can you provide more info?
Contributor guide
No contributing guide indexed for this repository
Research direction
Read the paper's description of ray loss LM and inspect the repository for the relevant training or loss entry point. Explain how LM is calculated and identify where that behavior is implemented, then verify the explanation against the existing behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100