Popular GitHub Repositories for Zynq Fpga

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Machine learning on FPGAs using HLS

Brevitas: neural network quantization in PyTorch

Dataflow compiler for QNN inference on FPGAs

A lightweight high performance tensor algebra framework for modern C++

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

QKeras: a quantization deep learning library for Tensorflow Keras

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database

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

CNN acceleration on virtex-7 FPGA with verilog HDL

Open source machine learning accelerators

FPGA Accelerator for CNN using Vivado HLS

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Research and Materials on Hardware implementation of Transformer Model

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.

Bring Deep Learning to small devices

A hardware implementation of CNN, written by Verilog and synthesized on FPGA

Small-scale Tensor Processing Unit built on an FPGA

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.