emlearn-micropython: Machine Learning and Digital Signal Processing for MicroPython

emlearn-micropython enables sensor data analysis on low-cost microcontrollers.The library provides implementations of a set of algorithms commonly used for sensor data processing.This includes Digital Signal Processing techniques such as Infinite Impulse Response and Fast Fourier Transform, as well as Machine Learning inference such as Random Forest, Nearest Neighbors and Convolutional Neural Networks.Any kind of sensor data can be processed, including audio, images, radar, and accelerometer data.The library builds on MicroPython, a tiny Python implementation designed for microcontrollers.The modules expose a high-level Python API and are implemented in C code for computational efficiency.This enables engineers, researchers, and makers that are familiar with Python to build efficient embedded systems that perform automatic analysis of sensor data.A range of hardware architectures are supported, including ARM Cortex M, Xtensa/ESP32 and x86-64.