Where is wrapped gaussian sampling done during noising?
Nobody has claimed this yet.
Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 20/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- machine-learning
Research direction
Start by tracing the ScoreMatchingNoisedAnglesDataset class and its loop over k, then search the noising and generation entry points for wrapped Gaussian sampling. Done means identifying the relevant code path and documenting where the wrapped Gaussian is used.
Written by the indexing model from the issue text.
Description
The only code where I see a loop over k is in ScoreMatchingNoisedAnglesDataset class.
I am not sure that I was able to find the use of the wrapped gaussian during generation of the noised samples. Can you point me to the relevant code where this is being done?
- Dominant language
- Jupyter Notebook
- Stars
- 568
- Forks
- 74
- Avg merge
- 20h 2m
- Merged PRs (30d)
- 1
Contributor guide
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.
More from microsoft/foldingdiff
-
Difficulty 4/5 3-5 days Newbie friendliness 38/100
microsoft/foldingdiff#32 ·
-
Difficulty 4/5 3-5 days Newbie friendliness 30/100
microsoft/foldingdiff#28 · 1 comment ·
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
microsoft/foldingdiff#26 ·
-
Difficulty 4/5 3-5 days Newbie friendliness 25/100
microsoft/foldingdiff#24 ·
-
BERT or Transformer? Open
Difficulty 3/5 1-2 days Newbie friendliness 35/100
microsoft/foldingdiff#22 ·
All issues in microsoft/foldingdiff
Similar issues
-
bug configuration documentation examples policies processor tests training
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
huggingface/lerobot#4727 ·
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
huggingface/sentence-transformers#4068 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
DataTalksClub/machine-learning-zoomcamp#723 · 1 reaction ·