emlearn/emlearn-micropython
Machine Learning and Digital Signal Processing for MicroPython
This project helps embedded systems developers integrate machine learning and digital signal processing into their MicroPython applications without writing C code. It takes your pre-trained machine learning models (like decision trees or CNNs) and sensor data, then efficiently runs predictions or filters on low-power microcontrollers. Embedded systems developers working with MicroPython to build smart devices will find this useful.
152 stars.
Use this if you need to run machine learning models or perform digital signal processing directly on resource-constrained microcontrollers using MicroPython.
Not ideal if you are looking to train complex, large-scale machine learning models or run deep learning models that require significant computational power and memory.
Stars
152
Forks
19
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 14, 2026
Commits (30d)
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