Tinyml Python Packages

emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

model2c

ML model to low-level inference convertor

mlsysim

Machine Learning Systems

ofa

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

deeploy-pulp

DNN Compiler for Heterogeneous SoCs

fogml

Source code generators for machine learning models.

deepc

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

miniml-engine

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).

mcunet

MCUNet: Tiny Deep Learning on IoT Devices

emtrees

Machine Learning inference engine for Microcontrollers and Embedded devices

embml

A tool to support using classification models in low-power and microcontroller-based embedded systems.

tinyml-deployer

CLI tool for deploying TensorFlow Lite models to ESP32 and STM32 microcontrollers