I want to contribute in a big project

• rust-analyzer

  132 13,551 10.0 Rust

  A Rust compiler front-end for IDEs

  

For something more concrete you can try and ask around on their zulip or browse their issues.

• TX-2-simulator

  17 18 7.1 Rust

  Simulator for the pioneering TX-2 computer

  

You could implement some opcodes at https://github.com/TX-2/TX-2-simulator

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Clippy

  120 10,736 10.0 Rust

  A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/

  

clippy is also pretty compiler-adjacent and unlike rust-analyzer uses rustc's internal APIs. Don't let the size of the code base scare you off! It's actually feasible for a newcomer to contribute even such a substantial change as a new lint, and we have issues labeled as "good first issue" that come with mentorship, so you don't need to go it alone.

• mfcc-rust

  5 16 5.8 Rust

we could always use contributors for mfcc-rust/speechsauce(we're planning on changing the name as it's not limited to just computing mfcc's).

• precise-rs

  4 10 0.0 Rust

  Precise hotword listener on Tract and Rust

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.

• openWakeWord

  5 440 8.6 Jupyter Notebook

  An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.

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.

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