HallerPatrick / HallerPatrick/fla-mlx
Publish package on PyPI
- Dominant language
- Python
- Stars
- 2
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
Hello! I just randomly stumbled onto your repo and I was curious as to whether you have any plans to publish it to PyPI.
My use case is a bit basic - I'm currently playing around with writing a small nanochat-esque clone repo for training hybrid models and I was looking for reference mlx implementations of fla that I can directly reuse rather than having to vibe code one. I found yours and I was hoping to directly `pip install` your project rather than doing a manual setup.
I am happy to help contribute in any way to getting your package published including writing documentation or dogfooding implementations!
Contributor guide
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Research direction
No files, tests, or packaging entry points are named. Start by inspecting the repository's packaging metadata and installation instructions, then determine what is needed for a PyPI release; consider the work done when the project can be installed from PyPI with the documented setup.
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Assessment
- Tech stack
- python
- Domain
- build-system, release
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100