TronixLab/ArduinoMicroML
It generate C code for microcontrollers from Python with Scikit-learn.
This tool helps embedded systems developers deploy machine learning classification models onto resource-constrained microcontrollers, including 8-bit Arduino boards. You provide a trained Scikit-learn classification model from Python, and it outputs C code that can be compiled and run directly on your microcontroller to make predictions. This is for engineers and hobbyists building smart devices with limited processing power and memory.
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Use this if you need to perform real-time classification tasks, like recognizing gestures or colors, directly on a low-power microcontroller without needing a continuous connection to a more powerful computer.
Not ideal if your project requires complex deep learning models, regression tasks, or if you are working with powerful microprocessors that can handle standard machine learning libraries.
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Last pushed
Jun 19, 2021
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