Tinyml Python Packages

abstractintegratedmodule

[~] IntegratedPipeline is a standalone AI Agent Library for Non-LLM memory Augmented Agentic Framework, Specifically designed to provide Agentic capability for any Autonomous Agentic Framework locally and Coordinatively that runs efficiently on Consumer based machine to High end embedded systems, While continuously learning and runs efficiently.

emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

model2c

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

tinydoc

Python SDK for TinyDoc-VLM document understanding — the world's smallest document-specialist VLM

miniml-engine

MiniML is a lightweight Machine and Deep Learning framework dedicated to training neural networks in embedded systems, redefining conventional and heavyweight models into different methods that can be exported and executed on low-cost microcontrollers (Arduino, ESP32, STM32).

ofa

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

heed-wakeword

Tiny, custom, on-device wake-word detection. Train your own in seconds, deploy anywhere (Python / browser / mobile).

deeploy-pulp

DNN Compiler for Heterogeneous SoCs

mlsysim

Machine Learning Systems

fogml

Tiny Federated ML for Fog Computing

mcunet

MCUNet: Tiny Deep Learning on IoT Devices

emtrees

Machine Learning inference engine for Microcontrollers and Embedded devices

deepc

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

embml

A tool to support using classification models in low-power microcontroller-based hardware

tinyml-deployer

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