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Here are
15 public repositories
matching this topic...
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.
TensorFlow Lite Micro for easy integration with Infineon ModusToolbox projects
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"
This repo implements the micro_speech example for deployment on Raspberry Pico RP2040 compatible micrcontroller boards.
tflite_micro_runtime for Raspberry Pi Zero
Raspberry Pi Zero Development Environment + TF-Lite Image Classificaiton
👁 architects-guide-2-aiot
Code for the "The Architect's Guide to the AIoT" blog.
Smart Trunk Opener based on radar data using time series predection AI
My fork of eloquentarduino/tflm_esp32
Int8-quantized TinyML sine regression on STM32 Cortex-M33 with TFLM, CMSIS-NN and full VS Code debug setup
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