precise-rs
rust-analyzer
precise-rs | rust-analyzer | |
---|---|---|
4 | 132 | |
10 | 13,568 | |
- | 0.7% | |
0.0 | 10.0 | |
over 1 year ago | 3 days ago | |
Rust | Rust | |
Apache License 2.0 | 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.
precise-rs
-
I want to contribute in a big project
here's what's on the pipeline next: - finish mel-spectrogram implementation - publish initial version on crates - move python caching rust side - finish implementing in the precise rust port - potentially build another runner for (open wakeword)[https://github.com/dscripka/openWakeWord] - build an android app that supports user-defined wakewords and has some popular defaults to load. ps not a voice assistant, just the thing that activates the voice assistant.
-
are machine learning models language-agnostic
p.s. one of the members of our group had ported the part of the precise engine responsible for decoding to rust, we're working on this lib because the performance of the old mfcc rust lib was bottlenecking the project
-
HELP NEEDED: Using RUST and open source tools for reliable wake-word detection :tuerca_y_perno:
I want to share a really cool project with you all: an implementation of the Precise Wakeword engine (the one used in Mycroft) in Rust, called precise-rs. This project is unique because other than the usual advantages of using Rust (like minimal memory usage), there's another nice benefit: running the wakeword engine on Android/iOS we want to be able to say to our phones: "Ok, my dear assistant, do the dishes"💥!!.
-
Make your own custom wakeword and other FOSS voice assistant solutions
This release represents the first phase in the wakeword project, we are working on a Rust wakeword engine based on Precise and a SpeechPy MFCC port in Rust so that user's can run the wakeword easily on their phone and other devices. It is hard to believe that there aren't any current good solutions to running a modern FOSS wakeword engine on a phone in real time. We want to change that and allow everyone access to this technology, with their own wakeword of choice.
rust-analyzer
-
Cranelift code generation comes to Rust
go build 3.62s user 0.76s system 171% cpu 2.545 total
I was looking forward to parallel front-end[4], but I have not seen any improvement for these small changes.
[1]: https://github.com/rust-lang/rust-analyzer
-
A guide on Neovim's LSP client
For example, intelephense can show diagnostics in real time, there is no need to save the file to get new diagnostics. But rust-analyzer, the language server for rust, can only update diagnostics after saving the file.
-
Top 10 Rusty Repositories for you to start your Open Source Journey
6. Rust Analyzer
-
The rust-analyzer vscode extension is not working at all.
The rust-analyzer readme suggests you go here for support request. But even there, you'll need to provide more details to get useful help.
-
LSP could have been better
For example: https://github.com/rust-lang/rust-analyzer/blob/master/docs/...
> If you create an LSP, it will work best in VS Code.
Any editor can work just as well as (or even better than) VS Code.
-
Discussion Thread
So, apparently the reason why rust-analyzer, the LSP server for Rust does not have persistent caching is because it would make "optimizing initial passes less important".
- The AI Content Flippening
-
Introducing RustRover – A Standalone Rust IDE by JetBrains
All I want to know is: Will it have a build configuration pulldown?
-
Mastering Emacs: What's new in Emacs 29.1
I am not a Rust dev. It surely looks great.
However, from what I understand it seems to supply just a parser separate from the Rust compiler (https://github.com/rust-lang/rust-analyzer/tree/master/crate...) trying to keep up with Rust‘s development. So, in principle, it could have been just another treesitter parser plugin, too.
So, again, the LSP framework does not directly provide any magical benefit over a static parsing framework. All the semantic analysis capabilities stem from a good parser.
-
helix shows rust "language server exited"
rust-analyzer > manual > helix > binary > rustup component add rust-analyzer
What are some alternatives?
glados-voice-assistant - DIY Voice Assistant based on the GLaDOS character from Portal video game series. Works with home assistant!
vscode-rust - Rust extension for Visual Studio Code
precise-wakeword-model-maker - Automated, end-to-end wakeword model maker using the Precise Wakeword Engine
intellij-rust - Rust plugin for the IntelliJ Platform
secret_sauce_ai - Secret Sauce AI: a coordinated community of tech minded AI enthusiasts
rustfmt - Format Rust code
Leon - 🧠Leon is your open-source personal assistant.
sublime-rust - The official Sublime Text 4 package for the Rust Programming Language
TX-2-simulator - Simulator for the pioneering TX-2 computer
coc-rust-analyzer - rust-analyzer extension for coc.nvim
wakeword-data-collector - A prototype CLI in Python where a user can collect all of the recordings needed to produce a wakeword
eglot - A client for Language Server Protocol servers