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https://blog.csdn.net/MmikerR/article/details/106469344

alexnet icon alexnet

Benchmarking execution time of AlexNet CNN on FPGA and GPU. Developed AlexNet in opencl.

alexnet-fpga-implementation icon alexnet-fpga-implementation

This repository contains all the parameters you need to synthesize the AlexNet by using Vivado High Level Synthesis.

apfp icon apfp

论文:Fast Arbitrary Precision Floating Point on FPGA

binarynet icon binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bundle icon bundle

FPGA-accelerated array computing

char-rnn icon char-rnn

论文:Recurrent Neural Networks Hardware Implementation on FPGA

cnn-fpga icon cnn-fpga

论文:Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGA

cnn-fpga-1 icon cnn-fpga-1

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

cnn_hardware_acclerator_for_fpga icon cnn_hardware_acclerator_for_fpga

This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs

depthwiseconv-hls icon depthwiseconv-hls

使用HLS设计一个可分卷积(High Level Synthesis)模块,以在FPGA上对其进行加速。

embedded-neural-network icon embedded-neural-network

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

fpga icon fpga

帮助大家进行FPGA的入门,分享FPGA相关的优秀文章,优秀项目

fpga_caffe icon fpga_caffe

论文:Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks

fpga_neural_network_acceleration icon fpga_neural_network_acceleration

This system accelerates a neural network made to recognize handwritten digits from an original time per sample of 200ms by 300x to a time of 0.66ms per sample.

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