lightly-ai / lightly-ai/lightly-train
[FEAT] Ray support for distributed training
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 1.7k
- Forks
- 116
- Avg merge
- 2d 21h
- Merged PRs (30d)
- 6
Description
### 💡 Is your feature request related to a problem?
Difficulty in setting up cluster for large scale training.
### 🧰 Describe the solution you'd like
Using Ray managed cluster for training model in a distributed cluster. Ray makes it easier to scale workload.
### 🛠 Alternatives you've considered
N/A
### 📝 Additional context
N/A
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 names no files, tests, or entry points. First identify the existing training and cluster setup paths, then clarify the intended Ray-managed workflow, supported configurations, and acceptance criteria before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100