Difference between revisions of "EverywhereML"
Jump to navigation
Jump to search
| Line 1: | Line 1: | ||
| − | 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 | ||
| Line 7: | Line 7: | ||
* download the example dataset [[File:Concatenated df 3 led.csv]] | * download the example dataset [[File:Concatenated df 3 led.csv]] | ||
| − | Run the | + | 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 | ||
Revision as of 12:27, 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.
