DrZhanYing

HSGAN

Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks

BSCNN

Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density

Super-Resolution.Benckmark

Benchmark and resources for single super-resolution algorithms

awesome

:sunglasses: Curated list of awesome lists

DCGANs

Implementation of some basic GAN architectures in Keras

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

DrZhanYing.github.io

FastMaskRCNN

Mask RCNN in TensorFlow

FCN.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

GANs

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

improved-gan

code for the paper "Improved Techniques for Training GANs"

Iris-segmentation-using-Deep-Learning_Keras

Tried two methods: CNN with labeled 6 numbers (pupil center (x, y), pupil radius, iris center (x,y), iris radius) and FCN with labeled image masks. Using CASIA_iris_interval dataset. 12,000 training images (used data augmentation to add images from 2000 original images) and 3,816 testing images.

mask_rcnn_pytorch

Mask RCNN in PyTorch

muGIFforHSI

My-TensorFlow-tutorials

This repo contains all of my TensorFlow tutorials

nCovMemory

2020新冠肺炎记忆：报道、非虚构与个人叙述（持续更新） Memory of 2020 nCoV: Media Coverage, Non-fiction Writings, and Individual Narratives (Continuously updating)

notebooks

collection of iPython notebooks

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

robotics_setup

Setup Ubuntu 16.04 and 14.04 with machine learning and robotics software plus user configuration. Includes ceres tensorflow ros caffe vrep eigen cudnn and cuda plus many more.

ssgan

Semi supervised GAN implementation

SSGAN-Tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

sugartensor

A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.

tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

Tensorflow-Programs-and-Tutorials

Implementations of CNNs, RNNs, GANs, etc

Tensorflow-Tutorial-1

Some interesting TensorFlow tutorials for beginners.

the-gan-zoo

A list of all named GANs!

waifu2x

Image Super-Resolution for Anime-Style Art

WassersteinGAN

yingzhan.github.com

My online resume