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Doing some data crunching. Graph: daily number of new StackOverflow questions that either contain one of {"keras", "tensorflow"} in their tags or titles, or one of {"torch", "pytorch", "torchvision"}. Past ~6 months.pic.twitter.com/H5uRT9NHYj
75 questions per day on average -- you could employ a few people full time just answering them
Now here's a really fascinating one. Weekly number of research papers indexed on arXiv specifically, and on all of Google Scholar (which includes arXiv), that mention TensorFlow, Keras, or PyTorch.pic.twitter.com/oVBsukcqXg
This tells us two things: 1) The pure ML research community (posts on arXiv) is evenly split between TF and PyTorch 2) The broader scientific community interested in applying ML (doesn't post on arXiv; often doesn't even publish preprints), which is ~20x larger, uses TF/Keras
The seasonality patterns are absolutely fascinating too. Is that just a week-end effect or is there more to it?
Holiday breaks are clearly visible. I'm not sure the rest of the seasonal moves form a predictable pattern.
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