Zehao Huang

Super-Resolution.Benckmark. Benchmark and resources for single super-resolution algorithms

caffe-vdsr. A Caffe-based implementation of very deep convolution network for image super-resolution

SimpleNeuralNetwork. A simple neural network implement in c++

torch-srgan. torch implementation of srgan

SCN_Matlab. Matlab reimplementation of SCNSR

sparse-structure-selection. Python

awesome-computer-vision. A curated list of awesome computer vision resources

awesome-deep-vision. A curated list of deep learning resources for computer vision

transfer-caffe. caffe for transfer learning

awesome-deep-learning. A curated list of awesome Deep Learning tutorials, projects and communities.

MachineLearning. Exercises for the Stanford/Coursera Machine Learning Class

Int8_TRT_MNIST. Python

faster_rcnn. Faster R-CNN

neural-enhance. Super Resolution for images using deep learning.

detectron2. Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

vision. Datasets, Transforms and Models specific to Computer Vision

caffe. Caffe: a fast open framework for deep learning.

Detectron. FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

gluon-cv. Gluon CV Toolkit

incubator-mxnet-bk. Python

waifu2x. Image Super-Resolution for Anime-Style Art

awesome-rnn. Recurrent Neural Network - A curated list of resources dedicated to RNN

cuda-convnet2. Automatically exported from code.google.com/p/cuda-convnet2

cifar.torch. 92.45% on CIFAR-10 in Torch

waifu2x-converter-cpp. waifu2x(original : https://github.com/nagadomi/waifu2x) re-implementation in C++ using OpenCV

subpixel. subpixel: A subpixel convnet for super resolution with Tensorflow

deep-residual-networks. Deep Residual Learning for Image Recognition