Of course this metric may not be quite representative of actual usage. Up to 85% of researchers do note cite the tools they use at all.
The deep learning frameworks used by researchers tend to differ from those used in industry and at large. Torch is big, MXNet non-existent.pic.twitter.com/nrkJ7jvDMJ
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but certainly more than a mix of github metrics. Awesome you did that analysis. Ment to do it for some time :)
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I wonder if MXNet will get a big boost now that Amazon officially embraced it.
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Thank you, Francois! Very cool to see.
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Interesting stastic, thanks! Is this from a source or did you compute it yourself?
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the most "performant" ones are the least used
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could it be just adoption lag?
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yes, there's adoption lag, and the metric itself is lagging by 4-6 mo on top of that. Explains the presence of Torch and Lasagne.
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@fchollet Amazon uses imagenet.Thanks. Twitter will use this to make your timeline better. UndoUndo
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