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...
Yes, this blog post indeed inspired us to submit ours!
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]:…
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…
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.
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…
Are you talking about custom VJPs/JVPs?
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…
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]:…
Especially if you actually require vector-Jacobian or Jacobian-vector products instead of the full Jacobian.
There is HNTerm [1], which also has an online demo [2]. [1]: https://github.com/ggerganov/hnterm [2]: https://hnterm.ggerganov.com
Are there any plans for native autodiff systems in Mojo?
> 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. ;)
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.
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]:…
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...
Yes, this blog post indeed inspired us to submit ours!
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]:…
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…
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.
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…
Are you talking about custom VJPs/JVPs?
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…
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]:…
Especially if you actually require vector-Jacobian or Jacobian-vector products instead of the full Jacobian.
There is HNTerm [1], which also has an online demo [2]. [1]: https://github.com/ggerganov/hnterm [2]: https://hnterm.ggerganov.com
Are there any plans for native autodiff systems in Mojo?
> 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. ;)
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.
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]:…