"The war between ML frameworks has raged on since the rebirth of deep learning." That's a bit too dramatic though, no?https://twitter.com/gradientpub/status/1182327049307844613 …
Oh, an article praising PyTorch, written by a PyTorch team intern, published at the same time as the PyTorch developer conference. Interesting series of coincidences... It uses cherrypicked data to demonstrate that... PyTorch definitely had at least 588 users in 2019.
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Not 588,000, mind you. 588. That's what the data says.
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These left and right jabs.
pic.twitter.com/dfVJsgp1Xi
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Don't be jealous, take me as intern and i will tell everyone how wonderful tf realy is =D
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Can you explain why you think its cherrypicked? I "cherry picked" the conference list, but I believe it should roughly match consensus. If you have other conferences you think I should add to the figures I'd be glad to do so.
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FYI the actual split in the research world is ~30-40% PT vs ~60-70% TF/Keras. This is the range of numbers you get by looking at 1) ArXiv mentions data, 2) Colab usage, 3) Actual research surveys. All the sources I can think of end up in this range. Extremely dishonest article.
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The fact that TF2 is copying PyTorch feature by feature is a pretty clear indicator which one of these the community likes more
I bet it'd be pretty hard to find 588 people that actually *enjoy* TF1 
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Seems you live in some parallel universe so cannot find 588 people. Pytorch copies all its features, one by one, from chainer! If you don't know.
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Hi
@acganesh , could you confirm then that you agreed to time publishing the opinion piece with the PyTorch conference?
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Thats it, this calls for a cage match between Chollet and Chintala.
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