Does this repository support contributions with the deep learning package?

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
18/100
Issue type
Documentation
Clarity
Needs clarification
Activity status
Stale
Tech stack
keras, numpy, python
Domain
documentation, machine-learning

Research direction

Start with DEVELOPING.md and the quoted guidance about NumPy/SciPy-style functions. Clarify whether Keras or other deep learning dependencies are permitted, and whether manually converting Keras3 tensors for NumPy processing is acceptable. The work is done when the contribution policy has a clear maintainer-approved answer in the issue or documentation.

Written by the indexing model from the issue text.

Description

In DEVELOPING.md, It stated, "New functions and classes should have numpy/scipy style." Does it mean it doesn't allow deep learning packages such as Keras?

If so, then is it allowed to convert a Keras3 tensor into a NumPy tensor by manually extracting the weights and treating it as an nd.array for processing? So, no external deep learning framework dependencies are needed.

Dominant language
Jupyter Notebook
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853
Forks
322
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  4. Open a pull request that references the issue number.

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