GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
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Updated
Apr 22, 2022 - C
GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
TinyML for STM32F407 using different frameworks in C and C++ with Keil uVision IDE.
TensorFlow Lite C/C++ library for microcontrollers.
stm32-speech-recognition-and-traduction is a project developed for the Advances in Operating Systems exam at the University of Milan (academic year 2020-2021). It implements a speech recognition and speech-to-text translation system using a pre-trained machine learning model running on the stm32f407vg microcontroller.
Face detection with MTCNN, TensorFlow Lite Micro and ESP32-S3
Mobilenet v1 (3,160,160, alpha=0.25, and 3,192,192, alpha=0.5) on STM32H7 using X-CUBE-AI v4.1.0
Virtual background for arcore and body segmentation
Integer-Only Arithmetic for Machine Learning using TensorFlow-Lite used for Purdue University VIP SoCET
# tflite_SineWave_CUBEai This is the firmware to generate sin wave on a STM32f767zi nucleo board. Since STM have updated there APIs it now hard to use avalible examples for a newcommer to get into edge ai I used the following tutorial to get an idea, but the code explained in the turorial does not work with newer libraiers https://www.digikey.co…
Repository to collect and design models for speech processing include keyword spotting, asr, tts, speech sinal process.
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