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With everywhereML you can train machine learning models and deploy them on different microcontroller platforms | With everywhereML, you can train machine learning models and deploy them on different microcontroller platforms | ||
https://github.com/eloquentarduino/everywhereml | https://github.com/eloquentarduino/everywhereml | ||
[[ | To try out the example | ||
* download the following python notebook (and change the file type to ipynb - remove .txt) | |||
[[File:Classifier.ipynb.txt]] | |||
* download the example dataset [[File:Concatenated df 3 led.csv]] | |||
Run the Python notebook and make sure that the path to the data file is adapted in the notebook to fit your local system. | |||
= Alternatives = | |||
* https://github.com/BayesWitnesses/m2cgen | |||
[[Category:Machine Learning]] | |||
Latest revision as of 12:32, 13 June 2024
With everywhereML, you can train machine learning models and deploy them on different microcontroller platforms https://github.com/eloquentarduino/everywhereml
To try out the example
- download the following python notebook (and change the file type to ipynb - remove .txt)
- download the example dataset File:Concatenated df 3 led.csv
Run the Python notebook and make sure that the path to the data file is adapted in the notebook to fit your local system.