funks_

5 ms·

1.
by funks_ 1y ago
We don’t have plans for that, but you could try to convert the Markdown source: https://github.com/iclr-blogposts/2025/blob/main/_posts/2025...
2.
by funks_ 1y ago
Yes, this blog post indeed inspired us to submit ours!
3.
by funks_ 2y ago
If you are interested in color dithering with different color difference metrics [1], I've implemented just that [2]. You can find an example comparing metrics in my docs [3]. [1]: https://juliagraphics.github.io/Colors
4.
by funks_ 2y ago
When it comes to general deep learning, Julia is much less mature than the JAX ecosystem. I think deep learning will be the hardest nut for Julia to crack. The field is moving incredibly fast, and network effects are strong. Julia's st
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by funks_ 2y ago
As far as I understand, you will only be able to speed up code that was previously written in pure Python. This excludes JAX, PyTorch, NumPy and any other Python package written in C/C++/Rust/Fortran.
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by funks_ 2y ago
I don't doubt that, but I'm specifically talking about new languages. I've seen far more enthusiasm from ML researchers for Mojo, which doesn't even do automatic differentiation, than for Dex. And to recycle an old HN co
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by funks_ 2y ago
Are you talking about custom VJPs/JVPs?
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by funks_ 2y ago
The Julia AD ecosystem is very interesting in that the community is trying to make the entire language differentiable, which is much broader in scope than what Torch and JAX are doing. But unlike Dex, Julia is not a language built from the
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by funks_ 2y ago
I wish dex-lang [1] had gotten more traction. It’s JAX without the limitations that come from being a Python DSL. But ML researchers apparently don’t want to touch anything that doesn’t look exactly like Python. [1]: https://git
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by funks_ 3y ago
Especially if you actually require vector-Jacobian or Jacobian-vector products instead of the full Jacobian.
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by funks_ 3y ago
There is HNTerm [1], which also has an online demo [2]. [1]: https://github.com/ggerganov/hnterm [2]: https://hnterm.ggerganov.com
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by funks_ 3y ago
Are there any plans for native autodiff systems in Mojo?
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by funks_ 4y ago
> JAX is just numpy (mostly) Or you could say JAX is a DSL that looks like numpy to trick Python programmers into using a compiled functional programming language. ;)
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by funks_ 4y ago
This is exactly why I would recommend a Hario Switch over a V60 or Aeropress. It makes my mornings much less complicated. However, you will still have to look for filters.
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by funks_ 4y ago
Fun fact: Atari and Tengen are both named after terms from the game of Go, the former describing a group of stones that can be captured [1], the latter the center point of the board [2]. [1]: https://senseis.xmp.net/?Atari