guoyongcs Goto Github PK

academic-kickstart

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

aegan

Code for “Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis”

cac

caffe

Caffe: a fast open framework for deep learning.

ccc

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cifar.torch

92.45% on CIFAR-10 in Torch

cnas

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

cnas-materials

cocos-pc

A PC application based on cocos2d-x framework.

darts

Differentiable architecture search for convolutional and recurrent networks

deep-residual-networks

Deep Residual Learning for Image Recognition

deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

densenet

Code for Densely Connected Convolutional Networks (DenseNets)

drc

Dual Regression Compression for SR Models

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

drn-materials

Materials of DRN.

dsn

Deeply-supervised Nets

ews

Code for "Improving Robustness by Enhancing Weak Subnets"

ews-materials

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

guoyong-materials

Something about Yong Guo.

guoyongcs.github.io

hnas-sr

HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

inception-v4.torch

GoogLeNet Inception arhitecture v4 implementation on torch

kaggle-cifar10-torch7

Code for Kaggle-CIFAR10 competition. 5th place.

lccgan

Code for “Adversarial Learning with Local Coordinate Coding”