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Blog post on gradient.pub with quantitative extensive analysis of PyTorch vs TensorFlow adoption in research.
TensorFlow will always have a captive audience within Google/DeepMind, but I wonder whether Google will eventually relax this. Even now, many of the researchers that Google wants to recruit will already prefer PyTorch at varying levels, and I’ve heard grumblings that many researchers inside Google would like to use a framework other than TensorFlow.
In addition, PyTorch’s dominance might start to cut off Google researchers from the rest of the research community. Not only will they have a harder time building on top of outside research, outside researchers will also be less likely to build on top of code published by Google.
submitted by /u/sensetime
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