[Discussion] Best practices for taking deep learning models to bare metal MCUs

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • mbot-vision

    Let your Makeblock robot see using an ESP32, camera and PyTorch

  • esp-nn

    Optimised Neural Network functions for Espressif chipsets

  • https://github.com/espressif/esp-nn https://github.com/espressif/tflite-micro-esp-examples

  • WorkOS

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  • TinyMaix

    TinyMaix is a tiny inference library for microcontrollers (TinyML).

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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