Over the past few days I've seen lots of green accounts on HN pushing the narrative that PyTorch is "taking over" DL research...
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Monitoring framework adoption in the DL research community via Google search results - TensorFlow is the main DL research platform todaypic.twitter.com/Y9c4QgnQzb
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...this is utterly contradicted by every metric I monitor with regard to usage in the research community
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Keras has added more researchers (and general users) in the past 6 months than PyTorch has
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What's the ratio of tf:theano in keras?
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Not sure when it comes to researchers specifically, but in general TF is ~80-85% of Keras users.
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How is theano still that big? Historical inertia? What are they up to? Did they get lots of partnerships/contracts ?
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Historical inertia. Lots of big DL lab still have all their code in Theano.
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Not just search metrics either.. TensorFlow leads in almost every KPI: GitHub stars, forks, mailing list traffic, etc.
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I wrote a paper / put together internal presentation about this while at Watson. Lots of data to support TF's lead and that it is expanding
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is there a reason to use tf alone without keras?
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implement a completely new architecture (new type of layer for example) is easier with TF because of lower level.
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