FPGA accelerator for real-time hand gesture recognition using QKeras and HLS4ML on Zynq UltraScale+ (PYNQ)

Tutorial notebooks for hls4ml

An Open Workflow to Build Custom SoCs and run Deep Models at the Edge

A Convolutional Neural Network (CNN)-based model trained to detect kidney cancer from histopathological images and deployed onto the AMD Kintex-7 FPGA board using the hls4ml and Vitis AI.

High Granularity Quantizarion for Ultra-Fast Machine Learning Applications on FPGAs

This project was developed as the final work for the course "From Algorithm to Hardware: Machine Learning in Embedded Systems".

Course Project for CS577, Using keras2c to make machine learning model vivado synthesizable

Neural network accelerator project completed using hls4ml tool.

NRP U55C Benchmarks

Autoencoder model for FPGA implementation using hls4ml. Repository for Applied Electronics Project.

running ANN on an FPGA

CIFAR10 training repo for MLPerf Tiny Benchmark v0.7

Neural network inferences on Alveo cards with hls4ml framework

Repository that contains some neural network inferences on PYNQ-Z2 board employing hls4ml

HLS & hls4ml Tutorial