tract
cargo-geiger
tract | cargo-geiger | |
---|---|---|
20 | 30 | |
2,105 | 1,348 | |
2.5% | 2.7% | |
9.8 | 4.9 | |
3 days ago | 7 days ago | |
Rust | Rust | |
Apache 2.0/MIT | GNU General Public License v3.0 or later |
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.
tract
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Are there any ML crates that would compile to WASM?
Tract is the most well known ML crate in Rust, which I believe can compile to WASM - https://github.com/sonos/tract/. Burn may also be useful - https://github.com/burn-rs/burn.
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[Discussion] What crates would you like to see?
tract!!
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tract VS burn - a user suggested alternative
2 projects | 25 Mar 2023
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Machine Learning Inference Server in Rust?
we use tract for inference, integrated into our runtime and services.
- onnxruntime
- Rust Native ML Frameworks?
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Neural networks - what crates to use?
Not for training, but for inference this looks nice: https://github.com/sonos/tract
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Brain.js: GPU Accelerated Neural Networks in JavaScript
There's also tract, from sonos[0]. 100% rust.
I'm currently trying to use it to do speech recognition with a variant of the Conformer architecture (exported to ONNX).
The final goal is to do it in WASM client-side.
[0] https://github.com/sonos/tract
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Serving ML at the Speed of Rust
As the article notes, there isn't any official Rust-native support for any common frameworks.
tract (https://github.com/sonos/tract) seems like the most mature for ONNX (for which TF/PT export is good nowadays), and recently it successfully implemented BERT.
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Run deep neural network models from scratch
There are some DL libraries written in Rust: https://github.com/sonos/tract , https://docs.rs/neuronika/latest/neuronika/index.html . The second one could be used for training, I think.
cargo-geiger
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Was Rust Worth It?
Instead of looking at the crates themselves, you might want to check your (or others') Rust application with https://github.com/rust-secure-code/cargo-geiger to get a sense of effective prevalence. I also dispute that the presence of unsafe somewhere in the dependency tree is an issue in itself, but that's a different discussion that many more had in other sub-threads.
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Found a language in development called Vale which claims to be the safest AOT compiled language in the World (Claims to beSafer than Rust)
There's still plenty. Run cargo geiger on any of your projects and see for yourself.
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Question Omnibus: Dependency Fingerprinting, Unsafe Rust, and Memory Safety
On point 2, the answer is cargo geiger, and judging how much memory safety you need for a given project.
- pliron: An extensible compiler IR framework, inspired by MLIR and written in safe Rust.
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[Discussion] What crates would you like to see?
You can use cargo-geiger or cargo-crev to check for whether people you trusted (e.g. u/jonhoo ) trust this crate.
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How do you choose what crate you will use?
The amount of unsafe code is also a factor. cargo geiger is a handy tool for measuring it.
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Seems legit
We have cargo-geiger that does just that.
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Rosenpass – formally verified post-quantum WireGuard
For that, I believe you need to use cargo-geiger[0] and audit the results.
[0] - https://github.com/rust-secure-code/cargo-geiger
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Hey Rustaceans! Got a question? Ask here (6/2023)!
cargo-geiger is a subcommand you can install which will check all the crates in your dependency graph for unsafe blocks and print out a report (which also shows if a crate has #![forbid(unsafe_code)] or not). You can then inspect those crates' sources to judge their use of unsafe for yourself. I don't think it has a "check" mode that simply errors if your dependency graph contains unsafe though, it's more about just collecting that information.
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[CCS Proposal] Preliminary research on rewriting Monero node in Rust
wrt to memory safety, keep in mind that many rust crates use "unsafe" internally. There are tools available that can find these such as cargo-geiger. So I would suggest to avoid unsafe deps as much as possible. Since they cannot be avoided entirely, it is a good idea to keep a list of unsafe deps.
What are some alternatives?
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
bacon - background rust code check
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
ziglings - Learn the Zig programming language by fixing tiny broken programs.
MTuner - MTuner is a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4 and 3, Android and other platforms
nomicon - The Dark Arts of Advanced and Unsafe Rust Programming
ncurses-rs - A low-level ncurses wrapper for Rust
mold - Mold: A Modern Linker 🦠
linfa - A Rust machine learning framework.
miri - An interpreter for Rust's mid-level intermediate representation
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
orz - a high performance, general purpose data compressor written in the crab-lang