dfdx
docs.rs
dfdx | docs.rs | |
---|---|---|
22 | 139 | |
1,611 | 947 | |
- | 0.7% | |
8.7 | 9.5 | |
2 months ago | 6 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | MIT License |
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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!
docs.rs
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Using GenAI to improve developer experience on AWS
Working in combination with CodeWhisperer in your IDE, you can send whole code sections to Amazon Q and ask for an explanation of what the selected code does. To show how this works, we open up the file.rs file cloned from this GitHub repository. This is part of an open source project to host documentation of crates for the Rust Programming Language, which is a language we are not familiar with.
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TSDocs.dev: type docs for any JavaScript library
Looks like a great initiative – I wish there was a reliable TS/JS equivalent of https://docs.rs (even considering rustdoc's deficiencies[1]).
I went through this exercise recently and so far my experience with trying to produce documentation from a somewhat convoluted TS codebase[2] has been disappointing. I would claim it's a consequence of the library's public (user-facing) API substantially differing from how the actual implementation is structured.
Typedoc produces bad results for that codebase so sphinx-js, which I wanted to use, doesn't have much to work with. I ultimately documented things by hand, for now, the way the API is meant to be used by the user.
Compare:
https://ts-results-es.readthedocs.io/en/latest/reference/api...
vs
https://tsdocs.dev/docs/ts-results-es/4.1.0-alpha.1/index.ht...
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How did I need to know about feature rwh_05 for winit?
Rust Search Extension adds a section on docs.rs menubar which lists the features of a crate in a nice and easy to access format.
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Embassy on ESP: GPIO
📝 Note: At the time of writing this post, I couldn't really locate the init function docs.rs documentation. It didn't seem easily accessible through any of the current HAL implementation documentation. Nevertheless, I reached the signature of the function through the source here.
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First Rust Package - Telegram Notification Framework (Feedback Appreciated)
Rust Crates are a Game-Changer 🎮:The ease of releasing a crate with `cargo publish` and the convenience of rolling out new versions amazed me. The auto-generated docs on Docs.rs. is an amazing tool, especially with docstring formatting. Doc tests serve as a two-fold tool for documenting the code and ensuring it's up-to-date.
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Grimoire: Open-Source bookmark manager with extra features
I've found I manually type out certain subsets of URLs where possible[0], maybe that's subconsciously associated with my impression that Google Search results have gotten worse and worse over the years.
[0] https://en.wiktionary.org/wiki/ and https://docs.rs/ come to mind.
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Released my first crate ~20 hours ago; already downloaded 12 times. Who would know about it?
docs.rs also downloads you crate automatically to generate docs and I would guess lib.rs does something similar
- Docs.rs Is Down
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Managed to land a junior role need help!
There are also a few key sites you'll want to keep in your back pocket at all times: - The Standard Library Documentation has complete documentation for every std library function in Rust - crates.io is a repository for all third-party packages, and docs.rs has human-readable documentation for the overwhelming majority of them - The Rust Cookbook has some code examples for common tasks you may need to perform - Make sure you are using clippy, which is available through Rustup and can be run with cargo clippy as a replacement to cargo check, it adds additional lints for your Rust code and is very helpful for teaching many of the best practices
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How do you like code documentation inline in the source code vs. as separate guides, or how would you do it?
OTOH, source-code-generated-docs normalize how code docs are, like the rust docs.rs paradigm, so it sort of forces or encourages package creators/maintainers to write docs.
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]
crates.io - The Rust package registry
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
serenity - A Rust library for the Discord API.
DiffSharp - DiffSharp: Differentiable Functional Programming
tui-input - TUI input library supporting multiple backends, tui-rs and ratatui
executorch - On-device AI across mobile, embedded and edge for PyTorch
config-rs - ⚙️ Layered configuration system for Rust applications (with strong support for 12-factor applications).
rust - Empowering everyone to build reliable and efficient software.
bevy - A refreshingly simple data-driven game engine built in Rust
triton - Development repository for the Triton language and compiler
awesome-bevy - A collection of Bevy assets, plugins, learning resources, and apps made by the community