PipeCNN

CNN accelerator

A tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

GitHub

1k stars
73 watching
369 forks
Language: C
last commit: over 4 years ago
Linked from 1 awesome list

altera-opencl-sdkdeep-learningdeep-neural-networksfpgafpga-acceleratorhardwarehlsopencl

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
hyeongseokson1/cnn_deconvolutionAn implementation of a CNN-based method for non-blind deconvolution using Wiener filtering as a pre-processing step.22
amd/opencl-caffeAn OpenCL implementation of Caffe, a mainstream DNN framework.518
ucb-bar/gemminiA platform for exploring and evaluating deep learning hardware acceleration using a full-system simulation approach828
xilinx/finnFast and scalable neural network inference framework for FPGAs.770
ahmedfgad/numpycnnA Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch577
mil-tokyo/webdnnA framework that accelerates deep neural networks in web browsers using optimized models and GPU acceleration.1,978
wkentaro/fcnAn implementation of fully convolutional networks in Chainer, a deep learning framework.218
jimmy-ren/vcnn_double-bladedAn implementation of convolutional neural networks in Matlab, providing GPU-enabled vectorized processing for image recognition and processing tasks.136
deepakkumar1984/amplifier.netA .NET library that enables developers to run complex applications on various hardware platforms without writing additional C kernel code.177
jhkim89/pyramidnetA Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models.129
sfmth/openspikeAn accelerator designed to speed up spiking neural networks by integrating synaptic weights on a single chip.132
apache/tvm-vtaA comprehensive hardware design stack for accelerating deep learning models258
clementfarabet/lua---nnxAn extension to Torch7's neural network package with experimental modules and optimizations.97
benedekrozemberczki/mixhop-and-n-gcnA deep learning framework implementation of higher-order graph convolutional architectures and their applications403
torch/cunnA CUDA implementation of neural network modules and related GPU operations215