🗺️ Keras Development Roadmap about keras HOT 6 OPEN

Unify KerasCV and KerasNLP into a single Keras Models package.

1. does it mean that kerascv and kerasnlp will be merged together into one single package, like tensorflow model garden?

2. kerascv development is terribly slow, and lacks of resources. no release since february (0.8.2), may models doesn't have weight, i.e. vit, mit. Object detection models that is added (yolo-v8, retina-net, faster-rcnn) all are broken and doesn't have evaluation scripts to holds their validity. Generative model only stable diffusion, where many (too many impactfull models are available now).

3. like huggigface, why enigneer or researcher are not hired and reinformce into this package. Check this repo, the ownver can add any new models written in keras. so why not official keras team? Is it because the api desgin is too rich and complicated for contributor? Not to mention, many reviews are pending, contributor left at th end.

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I concur with @pure-rgb's observation that the API design has become overly elaborate and intricate for contributors. Previously, it was straightforward and comprehensible, but with the introduction of the Backbone API, it has become more convoluted.

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 with the introduction of the Backbone API, it has become more convoluted.

The person who introduced such API design already left google. :p

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@fchollet I've been going through the features you're planning to implement, and I'm particularly interested in contributing to KerasNLP. Specifically, I'm eager to get involved in the development of dynamic sequence length inference for PyTorch LLMs.

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@kernel-loophole please open an issue on the KerasNLP repo if you'd like to contribute this feature!

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okay thanks

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