LinZhineng

2016_super_resolution

super resolution 2015ICCV Image Super-Resolution Using Deep Convolutional Networks

2S-TL

A two-stage transfer learning code in MATLAB

ActiveTransferLearning

Code for various active transfer learning projects.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

AlphaGo

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

awesome-deep-vision

A curated list of deep learning resources for computer vision

BuildingMachineLearningSystemsWithPython

Source Code for the book Building Machine Learning Systems with Python

Net2Net

numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641

texture_nets

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

transfer-learning

LinZhineng/BasicSR

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

LinZhineng/cp11fall_project1

Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

LinZhineng/CVPR18-SFTGAN

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

LinZhineng/dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

LinZhineng/dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

LinZhineng/demosaicnet

SiGGRAPH Asia 2016

LinZhineng/ESRGAN

Enhanced SRGAN, ECCV2018 PIRM Workshop

LinZhineng/faster_rcnn

Faster R-CNN

LinZhineng/GenerativePredictableVoxels

Code release for ECCV16 paper "Learning a Predictable and Generative Vector Representation for Objects"

LinZhineng/gman

A ruby gem to check if the owner of a given email address or website is working for THE MAN (a.k.a verifies government domains).

LinZhineng/GMAN-1

GANs with multiple Discriminators

LinZhineng/hdr-plus

HDR+ Implementation

LinZhineng/imgaug

Image augmentation for machine learning experiments.

LinZhineng/improved-gan

code for the paper "Improved Techniques for Training GANs"

LinZhineng/IRCNN

IRCNN Image denoise

LinZhineng/linzhineng.github.io

LinZhineng/lsgan

This is the project for LS-GAN (Loss-Sensitive GAN)

LinZhineng/MNC

Instance-aware Semantic Segmentation via Multi-task Network Cascades

LinZhineng/MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

LinZhineng/PhotographicImageSynthesis

Photographic Image Synthesis with Cascaded Refinement Networks

LinZhineng/R-FCN

R-FCN: Object Detection via Region-based Fully Convolutional Networks

LinZhineng/retina-unet

Retina blood vessel segmentation with a convolutional neural network

LinZhineng/SideWindowFilter

Side sindow is better than Full window

LinZhineng/siggraph2017_inpainting

Code for the paper 'Globally and Locally Consistent Image Completion'. http://hi.cs.waseda.ac.jp/~iizuka/projects/completion/

LinZhineng/SPMC_VideoSR

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

LinZhineng/SRMD

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)

LinZhineng/TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

LinZhineng/tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

LinZhineng/tensorflow-vgg

Tensorflow implementation of VGG 16 and VGG 19

LinZhineng/variational-autoencoder

generate MNIST using a Variational Autoencoder