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Ask HN: What ML platform are you using?

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Re: Ask HN: What ML platform are you using?

#81
post #71

Earlier quoted context omitted.

Fast CPU transformers: https://bellard.org/libnc Fast CPU convolutions: https://NN-512.com Both are completely stand-alone (no external dependencies).

> Fast CPU transformers: https://bellard.org/libnc And especially, from Fabrice Bellard (QEMU, FFMPEG...) I do not know how you found it: it is not even in his site's index! -- I see that NN-512 is a personal project of yours: congratulations! Though it seems to be a go-lang application that generates specialized C for convolutional NNs... Not a general purpose library, not for beginners.

FWIW this is the first link on the index page: https://bellard.org/nncp/ which mentions libnc as its underlying ML library.

Re: Ask HN: What ML platform are you using?

#82
post #81
post #71

Earlier quoted context omitted.

> Fast CPU transformers: https://bellard.org/libnc And especially, from Fabrice Bellard (QEMU, FFMPEG...) I do not know how you found it: it is not even in his site's index! -- I see that NN-512 is a personal project of yours: congratulations! Though it seems to be a go-lang application that generates specialized C for convolutional NNs... Not a general purpose library, not for beginners.

FWIW this is the first link on the index page: https://bellard.org/nncp/ which mentions libnc as its underlying ML library.

(Yes, well, NNCP is an attempt to perform lossless data compression through ANN - which is quite interesting, and of definite theoretic interest, though yet not practical in its more defined purpose e.g. because of speed, hence presumably power efficiency. The other is the invention of water.

It is like "Let me show you my new idea for a cupboard..." - ok, nice! - "...I created through a new lightweight portable all-purpose "Fabrice Bellard"-quality Swiss army knife for automation that operates on any material and that you may use if you want" - YES!? REALLY?... Metaphors do not come close.

This, LibNC, is an Artificial Intelligence engine signed Fabrice Bellard, in low level implementation... It's a "revolution".)

Re: Ask HN: What ML platform are you using?

#83
post #67
post #59

Earlier quoted context omitted.

To support your point with data, here is a graph of usage of TF vs PyTorch in papers over time: https://horace.io/pytorch-vs-tensorflow/

I've seen this chart too. But research != Production. I bet that TensorFlow is still more commonly used in serving than Pytorch because of great tooling like TensorFlow Serving. I could be wrong though, as I'm not up to date with the latest in the Pytorch ecosystem.

FWIW PyTorch has TorchServe nowadays which does the same thing as TF Serving.
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