hls4ml

Tutorial notebooks for hls4ml

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

Legacy High Granularity Quantizarion 1 - Please use HGQ2 instead (https://github.com/calad0i/HGQ)

HLS & hls4ml Tutorial

Neural network inferences on Alveo cards with hls4ml framework

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

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

running ANN on an FPGA

CIFAR10 training repo for MLPerf Tiny Benchmark v0.7

Neural network accelerator project completed using hls4ml tool.

FPGA-based neural network accelerators for AMD AUP-ZU3: three independent projects covering different ML models and hardware design strategies with hls4ml.

Test of the rk-xcku5p-f-v1.2 board

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.

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

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

KalEdge is a platform designed to bridge the gap between high-level Deep Learning model design and efficient hardware (FPGA) implementation.

Offline pipeline for the 91-parameter quantised CNN which replaces Optimal Filtering in the ATLAS Tile Calorimeter readout at HL-LHC pile-up. Preprocessing, knowledge distillation, quantisation-aware training and firmware export via Brevitas, QONNX and hls4ml. GSoC 2026, CERN-HSF.

NRP U55C Benchmarks

Keras 3 hexagonal CNN layers (HexagDLy port) for hexagonally-sampled data — IACT/Cherenkov cameras, etc. — Support for hls4ml in progress

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