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pineapple_sauce

HN member
Joined
Mon, Nov 24, 2014, 11:55 AM UTC
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35
Public activity
26 items

About pineapple_sauce

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Recent public activity

  1. comment
    Comment #43189313

    Why did you go with a publisher rather than publishing it yourself?

  2. comment
    Comment #43053514

    I believe KAN hype died off due to practical reasons (e.g. FLOPs from implementation) and empirical results, i.e. people reproduced KANs and they found the claims/results made in t…

  3. comment
    Comment #42314490

    https://github.com/intel/intel-extension-for-pytorch

  4. comment
    Comment #42004354

    This appears to be a significantly better implementation. Tramp mode is god awful slow and does not maintain a persistent connection.

  5. comment
    Comment #41272572

    How is Jax theoretically better than PyTorch? The author is ignorant of torch.compile and biased as other commenters have pointed out.

  6. comment
    Comment #41104836

    "Meat produced" - why not just say it how it is? "Animals killed" ...

  7. comment
    Comment #41089554

    The last time I used MacPorts it fell out of popularity and did not have nearly as many packages as Homebrew had. It's unfortunate. Homebrew is dogshit slow.

  8. comment
    Comment #40913159

    On rasterization & basic typesetting (no ligatures/gsub lookups): check out pixie https://github.com/treeform/pixie

  9. comment
    Comment #40814110

    How do you measure beauty? You can't: "beauty" is subjective. And even if you try e.g. count the times you use recursion vs. iteration: that metric is subjective and not grounded i…

  10. comment
    Comment #40527458

    How is applying DRY entering premature optimization territory (maybe relative to LOC?)? I argue it is instead: premature abstraction. Optimization is specialization (which is the o…

  11. comment
    Comment #40118071

    Yes, I'm well aware of the definition of a macro in C and C++. Macros are simpler than templates. You can expand them with a compiler flag.

  12. comment
    Comment #40117087

    What should be evaluated is removing indirection and tightly packing your data. I'm sure you'll gain a better performance improvement. virtual calls and shared_ptr are littered in …

  13. story
  14. comment
    Comment #38449103

    Mojo is a programming language, this is a library for Python that provides an abstraction over three Python-specific ML frameworks. Apples and oranges. You could use Keras inside o…

  15. comment
    Comment #38370803

    Meta uses https://github.com/facebook/sapling see: https://engineering.fb.com/2022/11/15/open-source/sapling-so... It’s an extension from Mercurial as the blog post states.

  16. comment
    Comment #37770825

    >"blazingly fast" > written by homebrew author (brew is notoriously slow) > written in typescript hmmm... I have my doubts on that claim, especially when there is no evidence to su…

  17. comment
    Comment #37664384

    DPI is not correct on MacOS

  18. comment
    Comment #37421451

    Related: https://github.com/ansiwave/nimwave

  19. comment
    Comment #36477090

    I would be interested in how CLIP performs post quantization. This should be relatively simple to test via ImageNet zero-shot top-1 acc as one example metric.

  20. comment
    Comment #36423729

    From the Nim programming language community, this project is this feature: https://github.com/treeform/fidget

  21. comment
    Comment #35795245

    From what I can tell: 1. They have a REPL and Jupyter integration 2. They're planning to do C and C++ interop. This is achievable in Nim but it is a pain, i.e. there is not easy wa…

  22. comment
    Comment #35658573

    Not sure how they compare, but: https://github.com/facebookexperimental/starlark-rust/

  23. comment
    Comment #33986607

    Not quite. Stable Diffusion is CLIP guided, but I wouldn't say it's "basically" how it works. It's one of the core Also, just fyi, Google's alternative to Stable Diffusion/DALLE-2,…

  24. comment
    Comment #12929319

    In the slides for unsupervised learning, what is meant by "Maximum Entropy"? Doesn't this just imply that the distribution will be uniform; i.e. it's no better than making a blind …

  25. comment