Search Packages

emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

mlsysim

Machine Learning Systems

ofa

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

model2c

tool to convert ML models into low-level inference for embedded platforms

fogml

Source code generators for machine learning models.

deepc

DeepC: Deep Neural Network Compiler

miniml-engine

A lightweight, dependency-free Machine Learning framework for Embedded Systems

deeploy-pulp

DNN Compiler for Heterogeneous SoCs

mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

emtrees

Tree-based machine learning for embedded system

embml

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

tinyml-deployer

Deploy TensorFlow Lite models to ESP32 and STM32 microcontrollers