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jonnor

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Software developer since 2010. Embedded systems, Web backend, Machine Learning, #IoT.

Funding Links: https://github.com/sponsors/jonnor

GitHub Sponsors Profile

Hi there! My name is Jon.
My purpose
My goal is to make Machine Learning for Embedded Devices (aka TinyML and EdgeML) as well as Audio Machine Learning as open and accessible as possible for people all over the world.
To do this, I provide a set of educational resources on these topics under jonnor/embeddedml and jonnor/machinehearing.
And I develop the emlearn TinyML library, which makes it easy to deploy efficient ML models to microcontrollers and embedded devices.
I also do presentations on conferences on these topics. You can find most of the recorded ones on my Youtube account.
How sponsorship will be used
Sponsorship money will go to buying electronics for testing/developing/demoing the open-source projects I develop (emlearn etc.), as well as a travel fund for going to conferences to give presentations about open-source projects.
About me
My background is a combination of electronics engineering, signal processing (audio and image), and software development. I have worked on open-source software since 2010. Some previous contributions have been to MyPaint, GIMP, Flowhub.io.
I am also active in the makerspace scene in Oslo, Norway at Bitraf.

Featured Works

emlearn/emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

Language: Python - Stars: 593
jonnor/machinehearing

Machine Learning applied to sound

Language: Jupyter Notebook - Stars: 264
jonnor/embeddedml

Notes on Machine Learning on edge for embedded/sensor/IoT uses

Language: Jupyter Notebook - Stars: 264
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