[Backlog item]: Evaluate existing codes and frameworks
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, pytorch
- Domain
- machine-learning
Research direction
Start by reading the linked torch.autograd, torch.nn.Module, and torch.nn.Parameter documentation, then inspect the PCSE source code to identify reusable parts. Done means documenting a reasoned framework choice and an assessment of how much PCSE can be reused.
Written by the indexing model from the issue text.
Description
The goal is to determine the most appropriate framework. We want to:
- Evaluate torch.autograd vs torch.nn.Module and torch.nn.Parameter.
- Assess how much of the PCSE source code can be reused within the chosen framework.
Tasks
- Dominant language
- Python
- Stars
- 25
- Forks
- 6
- Avg merge
- 2d 23h
- 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.
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