Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

Ai edge toolbox，专门面向边端设备尤其是嵌入式RTOS平台，AI模型部署工具链，包括模型推理引擎和模型压缩工具

Handwritten number recognition with STMF429 TFlite micro mnist

TensorFlow Lite for Microcontrollers Python package for Raspberry Pi Zero

An easy cmake project for tflite-micro, aims to develope or debug tflm on multi platforms.

This repo implements the micro_speech example for deployment on Raspberry Pico RP2040 compatible micrcontroller boards.

TensorFlow Lite Micro for easy integration with Infineon ModusToolbox projects

tflite_micro_runtime for Raspberry Pi Zero

Raspberry Pi Zero Development Environment + TF-Lite Image Classificaiton

Smart Trunk Opener based on radar data using time series predection AI

Code for the "The Architect's Guide to the AIoT" blog.

Ai edge toolbox

Deep Learning on embedded MCUs for autonomous Reconfigurable Intelligent Surface (RIS) beamforming. Hardware-aware analysis of latency-rate trade-offs with TensorFlow LiteRT for Microcontrollers | Funded by EU NRRP "RESTART"

My fork of eloquentarduino/tflm_esp32