dimensionalOS / dimensionalOS/dimos
End to end ACT - includes testing dataCollectionModule, Training (LeRobot), and Inference
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- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
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Description
Synced from DIM-1639 by stash
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
The issue covers an end-to-end ACT flow involving dataCollectionModule, LeRobot training, and inference, but names no files, tests, or entry points. Start by locating those components and existing end-to-end tests in the repository. Done means the full flow is exercised with the required testing data, training, and inference stages.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, robotics, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100