dfdx
book
dfdx | book | |
---|---|---|
22 | 626 | |
1,611 | 14,290 | |
- | 1.4% | |
8.7 | 8.7 | |
2 months ago | 5 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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!
book
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Learning Rust: A clean start
My first port of call was to google learn rust which lead me to "the book". The book is a first steps guide written by the rust community for newbies (or Rustlings as they're called) to gain a 'solid grasp of the language'.
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Prodzilla: From Zero to Prod with Rust and Shuttle
Before Prodzilla, I’d read 'The Book' a couple of times, and had made my way through Rustlings, but hadn’t yet built a serious project in Rust.
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Help me stop hating rust
To answer your last question;
Start with the Rust book.
https://doc.rust-lang.org/book/
Then do Rustlings until the syntax becomes muscle memory.
Then join the Discord and start doing little projects.
You won’t get up to the proficiency of other languages as quickly in Rust. It takes longer. For me it’s taking a lot longer, but I enjoy it.
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Top 10 Rusty Repositories for you to start your Open Source Journey
Before diving into these repositories, familiarize yourself with Rust and its development ecosystem. The official Rust book is an excellent resource for developers at all levels. Each repository has documentation on how to contribute, covering code style, issue tracking, and pull requests.
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Command Line Rust is a great book
This is my third Rust book after the official book and Rust in Action. The other two books are great, but they were too theoretical for me. I'm a slow learner and had much trouble grokking Rust's features and idiosyncrasies. When I was done with these books, I was lost and unsure of what I could do.
- Advice Sought: Double down on Solidity dev or switch to Product?
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Nim
It's the same reason everything digital and downloadable isn't free: there's a cost to create it and there's a value to it.
For a language developer to charge for a book about that language, I think that's a completely valid way to make some money off of their work.
Even the Rust book, "The Rust Programming Language" is available freely online [0], but also as a print and ebook for sale via NoStarchPress [1].
[0] https://doc.rust-lang.org/book/
[1] https://nostarch.com/rust-programming-language-2nd-edition
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Systems programming - Rust
You know you can just read it online right now in 2 different variants It does contain some systems programming.
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Ask HN: How do you learn Rust in 2023?
I am looking at The Book (https://doc.rust-lang.org/book/), but hoped there was an amazing person on youtube.
Yeah, I'll build something, finally trying webassembly.
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Give me the best Resources to learn Rust
https://doc.rust-lang.org/book/ https://github.com/rust-lang/rustlings https://doc.rust-lang.org/rust-by-example/
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]
rust-by-example - Learn Rust with examples (Live code editor included)
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Rustlings - :crab: Small exercises to get you used to reading and writing Rust code!
DiffSharp - DiffSharp: Differentiable Functional Programming
solana-program-library - A collection of Solana programs maintained by Solana Labs
executorch - On-device AI across mobile, embedded and edge for PyTorch
nomicon - The Dark Arts of Advanced and Unsafe Rust Programming
rust - Empowering everyone to build reliable and efficient software.
github-cheat-sheet - A list of cool features of Git and GitHub.
triton - Development repository for the Triton language and compiler