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accelerating-cnn-with-fpga

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

bnn-pynq

caffe

Caffe: a fast open framework for deep learning.

cnn-acceleration

Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA, AMD GPUs, and an FPGA platform.

cnn_fpga

verilog CNN generator for FPGA

cnn_hls

cnn_hls_implementation

cnn_vivado_hls_c

convolution_network_on_fpga

CNN acceleration on virtex-7 FPGA with verilog HDL

cpp

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 版权所有，违权必究 Tan 2018.06

faster_rcnn_pytorch

Faster RCNN with PyTorch

find-job

fpga

sdsoc

fpga-cnn

FPGA implementation of Cellular Neural Network (CNN)

fpga-zynqnet

FPGA-based ZynqNet CNN accelerator developed by Vivado_HLS

fpga_based_cnn

FPGA based acceleration of Convolutional Neural Networks. The project is developed by Verilog for Altera DE5 Net platform.

guinness

GUINNESS: A GUI-based binarized deep Neural NEtwork SyntheSizer toward an FPGA

hls_for_cnn

This repo has codes for hardware accelerator design for CNNs using high level synthesis from Altera.

imgaug

Image augmentation for machine learning experiments.

leetcode

leetcode-copy

The optimum C++ solutions for the leetcode

lenet5_hls

FPGA Accelerator for CNN using Vivado HLS

opennn

OpenNN - Open Neural Networks Library

pipecnn

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

qemu

Xilinx's fork of Quick EMUlator (QEMU) with improved support and modelling for the Xilinx platforms.

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow