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tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
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Love that project! On the microcontroller side, I also work on TensorFlow Lite Micro, which has some (very basic) examples of speech detection for tiny devices: https://github.com/tensorflow/tflite-micro/tree/main/tensorflow/lite/micro/examples/micro_speech
You're correct, though funnily enough years ago I did write some open source code for the Pi One's GPU, to help accelerate neural networks: https://github.com/jetpacapp/pi-gemm