dimensionalOS / dimensionalOS/dimos
VAMP approach for classical detection
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 233
Description
Synced from DIM-655 by mustafa
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.
Research direction
Start by reading the linked DIM-655 issue, since the GitHub issue contains no implementation details, files, tests, or acceptance criteria. Determine the intended VAMP approach for classical detection and identify the affected entry points before estimating the work; the issue is complete only when those requirements and completion criteria are defined and implemented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100