Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'

Full IP for Ziad Salah, commercial project, Source code is Confidential

MLino bench: A comprehensive benchmarking tool for evaluating ML models on edge devices. Evaluate machine learning models on resource-constrained devices

mlcommons tiny performance benchmark on EBAZ4205 (former bitcoin mining board built around Xilinx Zynq-7000 SoC)

AI on microcontroller(MCU) tutorial for inferencing an ImageNet dataset with X-CUBE-AI