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@msoermc @MSOE-Machine-Learning-Drone-Club @unda-ml
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BradenEverson/README.md

Braden Everson ๐ŸŒฑ๐Ÿซ€โš™๏ธ

Computer Science and Machine Learning student at the Milwaukee School of Engineering(MSOE) with a strong emphasis in Machine Learning and the Rust Programming language

Current Position: Embedded Software Intern at Cognex Corporation! ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธโš™๏ธ๐Ÿฆ€ Investigating Rust integrations into Cognex Firmware

Braden Everson's GitHub stats

I am fascinated by the world of Embedded Systems, Rust, Machine Learning and the unions that these three topics hold. I believe that Rust can serve not only as the future of machine learning, but its embedded runtimes can bring new avenues and use cases for Machine Learning in embedded environments ๐Ÿฆ€๐Ÿฆพ

Currently, I am working on a Rust crate named Unda ๐ŸŒŠ. Unda aims to bring accelerated Machine Learning through the XLA library into Rust. Ensuring robust types and blazingly fast model training ๐Ÿง โš™๏ธ

Unda has ranked in 4th place for the MSOE Rosie Supercomputer Challenge!

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  1. unda-ml/unda unda-ml/unda Public

    General purpose machine learning crate

    Rust 14 4

  2. wunos wunos Public

    Uno in a Websocket

    Rust 1