dfdx
tauri
dfdx | tauri | |
---|---|---|
22 | 470 | |
1,611 | 77,588 | |
- | 1.4% | |
8.7 | 9.8 | |
2 months ago | 4 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dfdx
- Shape Typing in Python
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Candle: Torch Replacement in Rust
I keep checking the progress on dfdx for this reason. It does what I (and, I assume from context, you) want: Provides static checking of tensor shapes. Which is fantastic. Not quite as much inference as I'd like but I love getting compile-time errors that I forgot to transpose before a matmul.
It depends on the generic_const_exprs feature which is still, to quote, "highly experimental":
https://github.com/rust-lang/rust/issues/76560
Definitely not for production use, but it gives a flavor for where things can head in the medium term, and it's .. it's nice. You could imagine future type support allowing even more inference for some intermediate shapes, of course, but even what it has now is really nice. Like this cute little convnet example:
https://github.com/coreylowman/dfdx/blob/main/examples/night...
- Dfdx: Shape Checked Deep Learning in Rust
- Are there some machine or deep learning crates on Rust?
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[Discussion] What crates would you like to see?
And for transformers, it's really early days for dfdx, but it's a library that aims to sit basically at the Pytorch level of abstraction, that the difference is it's not just coded in Rust, but it follows the Rust-y/functional-y philosophy of "if it compiles it runs".
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rapl: Rank Polymorphic array library for Rust.
Wow that is super interesting. I actually tried to use GATs at first to be generic over shapes, but I couldn't do it, I'm sure it would be possible in the future though. There is this library dfdx that does something similar to what you mentioned, but it feels a little clumsy to me.
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Announcing cudarc and fully GPU accelerated dfdx: ergonomic deep learning ENTIRELY in rust, now with CUDA support and tensors with mixed compile and runtime dimensions!
Awesome, I added an issue here https://github.com/coreylowman/dfdx/issues/597. We can discuss more there! The first step will just be adding the device and implementing tensor creation methods for it.
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In which circumstances is C++ better than Rust?
The next release of dfdx includes a CUDA device and implements many ops. The same dev created a new crate, cudarc, for a wrapper around CUDA toolkit.
- This year I tried solving AoC using Rust, here are my impressions coming from Python!
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Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
A question I have is: what are the philosophical/design differences with dfdx? As someone who's played around with dfdx and only skimmed the README of burn, it seems like dfdx leans into Rust's type system/type inference for compile time checking of as much as is possible to check at compile time. I wonder if you've gotten a chance to look at dfdx and would like to outline what you think the differences are. Thanks!
tauri
- Ask HN: Best stack for building a desktop app?
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Tauri CRUD Boilerplate
Hi, dear Tauri! Long time no see. I published my first post, Developing a Desktop Application via Rust and NextJS. The Tauri Way almost a year ago. Since then, Tauri has become stronger. I'm happy about that! And now, I am very pleased to make a useful contribution to the Tauri community. As a full-stack developer, I frequently face situations where I need to start a DB-based UI project as fast as possible. It's stressful if I need to start the project from 100% scratch. I prefer to keep some boilerplates on hand, which will save me time and nerves and will be the subject of this article.
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Show HN: Floro – Visual Version Control for static assets and strings
Hey Thanks!
Just electron & vite. I might actually migrate off electron, Tauri (https://tauri.app/) seems to be getting more stable and it's gotten great reviews.
I think this is the boilerplate I used though https://github.com/cawa-93/vite-electron-builder.
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3D and 2D: Testing out my cross-platform graphics engine
Well the great thing about WebAssembly is that you can port QT or anything else to be at a layer below -- thanks to WebAssembly Interface Types[0] and the Component Model specification that works underneath that.
To over-simplify, the Component Model manages language interop, and WIT constrains the boundaries with interfaces.
IMO the problem here is defining a 90% solution for most window, tab, button, etc management, then building embeddings in QT, Flutter/Skia, and other lower level engines. Getting a good cross-platform way of doing data passing, triggering re-renders, serializing window state is probably the meat of the interesting work.
On top of that, you really need great UX. This is normally where projects fall short -- why should I use this solution instead of something like Tauri[2] which is excellent or Electron?
[0]: https://github.com/WebAssembly/component-model/blob/main/des...
[1]: https://github.com/WebAssembly/component-model/blob/main/des...
[2]: https://tauri.app/
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Interview with Colin Lienard, Founder of GitLight
Welcome to the 2nd episode of our series “Building with Tauri”, where we chat with developers who build amazing projects and products using Tauri.
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Building W-9 Crafter
Tauri seemed like the "thing" I should switch to because everybody loves Rust (heh), and because it ships significantly smaller apps.
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Tauri + React + ShadcnUI
First of all, I will be using npm as my package manager but feel free to use whatever you prefer. Find more info here.
- Slint 1.5: Embracing Android, Improving Live-Preview, and Pythonic Slint
- Shoes makes building little graphical programs for Mac, Windows, Linux simple
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Tauri - Rust, Js and Native Apps
Today I'm talking about Tauri! Do you know all the various tools that allow you to develop native applications starting from web languages? They often need an intermediate compilation, in the middle of which you end up encountering various problems not always transparent and directly solvable with a language mostly detached from native development. On the other hand, there's still the ease of developing attractive and easily usable interfaces, which are more difficult to develop with low level languages.
What are some alternatives?
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
Wails - Create beautiful applications using Go
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
neutralinojs - Portable and lightweight cross-platform desktop application development framework
DiffSharp - DiffSharp: Differentiable Functional Programming
dioxus - Fullstack GUI library for web, desktop, mobile, and more.
executorch - On-device AI across mobile, embedded and edge for PyTorch
Electron - :electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
rust - Empowering everyone to build reliable and efficient software.
egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
triton - Development repository for the Triton language and compiler
iced - A cross-platform GUI library for Rust, inspired by Elm