One interesting thing about the ARC competition is that it serves to highlight how people who use deep learning often have little idea of what deep learning actually does, and when they should be using it or not
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The library restriction is necessary for the integrity of the hidden test data. But, with that said, if there's a list of important libraries useful for this, we can work on getting them installed into the kernel docker container. PRs are also welcome. https://github.com/Kaggle/docker-python …
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I’ve already started writing it for my case, but I’m guessing not everyone will be so motivated! Is there an approximate turn around (assuming properly formatted PR)?
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