Popular GitHub Repositories for Xilinx Ultrascale Mpsocs

Brevitas: neural network quantization in PyTorch

Implementation of a Tensor Processing Unit for embedded systems and the IoT.

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.

A FPGA Based CNN accelerator, following Google's TPU V1.

CNN accelerator implemented with Spinal HDL

FPGA acceleration of arbitrary precision floating point computations.

Deep Neural Network inference using Xilinx Zynq-7000 chip.

An end-to-end GCN inference accelerator written in HLS

A library of VHDL components for Neural Networks

a self-study guide for AI hardware engineers, covering a wide range of topics from foundational knowledge to advanced FPGA and acceleration techniques, Nvidia Jetson and edge AI, and more.

AI High-Performance Solution on FPGA

Low-Precision Neural Networks for Classification on PYNQ with FINN

AI High-Performance Solution on FPGA