MiniML is a lightweight ML framework dedicated to training neural networks in embedded systems, redefining conventional and heavyweight models (NN, RF, DT, SVM, LR, KNN) into different methods that can be exported and executed on low-cost microcontrollers (Arduino, ESP32, STM32).
