Gu Wang's repositories
AdversarialNetsPapers
The classical Papers about adversial nets
ALI
Adversarially Learned Inference
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
ccv
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
cn_mooc_dl
学堂在线使用Cookiesfile登陆 ,不需要输入用户名和密码(**大学MOOC，学堂在线) ----
cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, https://arxiv.org/abs/1606.09375
CRAN_deepboost
Deepboost R-package for submission
EG16_tutorial
Demo material for the EG16 tutorial on "Deep learning for 3D shape analysis"
Generative-Model-Survey
My exploration on Generative Model, mainly focus on GAN architecture
generative-models
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.
hyperchamber
Optimize your hyperparameters
LNCS
Improved Lecture Notes in Computer Science (LNCS) template
ml_assignment2
机器学习第二次作业：多分类的AdaBoost.MH AdaBoost.MR
nips2016
Learning What and Where to Draw
obj_pose_eval
Tools for evaluation of 6D object pose estimation.
ocds-guide-to-setting-up-mac
OCD's Guide to Setting up Mac
openface
Face recognition with deep neural networks.
resnet-1k-layers
Deep Residual Networks with 1K Layers
resume
An elegant \LaTeX\ résumé template
shape_desc_bench
Code to evaluate shape descriptors performances in terms of Cumulative Match Characteristic (CMC), Receiver Operator Characteristic (ROC) and Princeton protocol (Kim) curves
shape_render
Python code to render 3D shapes in Blender
Stereo-Pose-Machines
Stereo Pose Machines - Real Time 3D Pose Estimation
Super-Resolution.Benckmark
Benchmark and resources for single super-resolution algorithms
tensorflow-value-iteration-networks
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
WGAN-tensorflow
a tensorflow implementation of WGAN