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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.
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.
Raspberry Pi Zero Development Environment + TF-Lite Image Classificaiton
TensorFlow Lite Micro for easy integration with Infineon ModusToolbox projects
Code for the "The Architect's Guide to the AIoT" blog.
Smart Trunk Opener based on radar data using time series predection AI