Deep learning frameworks seen through GitHub metrics - October 2017.pic.twitter.com/4NXW6hGheC
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Meanwhile, here's what current adoption in the research community looks like: it differs quite a bit from industry adoption.pic.twitter.com/0cZI6tq2lC
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Can you also do the same for specific communities. E.g. NLP community may prefer dynamic computational, vision might rely on static ones.
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Specialized communities use specialized tools, e.g. speech = kaldi, NLP = Dynet...
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