TensorFlow is the platform of choice for deep learning in the research community. These are deep learning framework mentions on arXiv over the past 3 monthspic.twitter.com/v6ZEi63hzP
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Unfortunately I had to remove forks from the score, as they appear to be artificially inflated for TF. TF has 60k forks, growing at 10k/month, which doesn't make any sense. Possibly someone misusing the GitHub API...pic.twitter.com/eUSdXdtRo4
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This trend will probably continue with the announcements that are coming:https://twitter.com/clattner_llvm/status/971186649118814208?s=21 …
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The tensorflow fork trend was not there in 2017. I will double check tomorrow.
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Or possibly everybody has to fork it to kludge it so that it compiles
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so many servers deploying tf and built from source? :P
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Lots of GitHub users aren't aware of the difference between a fork and a star. A better metric might be forks with at least one commit different from master.
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