sdnuzwk Goto Github PK

12306-hunter

开源免费Java Swing C/S版本12306订票助手

bcicomp

some algorithms applied to bci comp IV

bnn-pynq

cnn

cnn

cnn-fpga-rtl

The CNN architecture elements implemented with RTL approach in VHDL.

cnn-sae-mi-bci-

CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of EEG motor imagery signals")

cnn_fpga

verilog CNN generator for FPGA

cnn_sae

SAE based on pytorch

convolution_network_on_fpga

CNN acceleration on virtex-7 FPGA with verilog HDL

deepeeg

Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for EEG analysis" at EMBC 2014

deeplearning-toolbox

Some commonly used deep learning network models, such as CNN/MLP/SAE/DBN

deeplearningtutorialforchinese

This project is the same with deeplearning.net, but the comment is written for chinese

ec

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

eeg_cnn

Python code for mental state recognition from EEG observations using CNN and RNN networks.

elearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

fpga-cnn

FPGA implementation of Cellular Neural Network (CNN)

fpga-project

A repository to store forth FPGA projects and the summer project of digital logic design

fpga-zynqnet

FPGA-based ZynqNet CNN accelerator developed by Vivado_HLS

fpga_cnn

fuckcqcs

hls4ml

Machine learning in FPGAs using HLS

lasagne

Lightweight library to build and train neural networks in Theano论文中提供的

mne-python-notebooks

IPython notebooks for EEG/MEG data processing using mne-python

neural-network-optimization

papaa-opencl

OpenCL Labs for PAPAA Summer School 2016 Edition

pc

Python on Zynq FPGA for Convolutional Neural Networks

pipecnn

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

pynq

Python Productivity for ZYNQ

sdae_tensorflow

tensorflow implemention of StackDenosingAutoEncoder

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters