ArduinoMicroML

Embedded Machine Learning for Microcontroller using MicroML framework. MicroML brings Machine Learning algorithms to microcontrollers, including limited 8-bit Arduino AVR boards, to run a classification model. The original repository can be found here.

Supported classifiers

• Decision Tree
• Random Forest
• XGBoost
• Gaussian Naive Bayes
• Support Vector Machines (SVC and OneClassSVM)
• Relevant Vector Machines
• SEFR (Scalable, Efficient, and Fast classifier)
• PCA (Principal Component Analysis)

Install

pip install micromlgen

Usage e.g. Decision Tree Classifier

from micromlgen import port
from sklearn.tree import DecisionTreeClassifier
from sklearn.datasets import load_iris

clf = DecisionTreeClassifier()
X, y = load_iris(return_X_y=True)
clf.fit(X, y)
print(port(clf))

Examples

Fig. 1 RGB color classifier

Fig. 2 IMU classifier

Fig. 3 Morse Code classifier

Fig. 4 Key word spotting

Video Tuturoial on YouTube