Super-Resolution.Benckmark 703

Benchmark and resources for single super-resolution algorithms

caffe-vdsr Matlab 257

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

torch-srgan Lua 75

torch implementation of srgan

SimpleNeuralNetwork C++ 74

A simple neural network implement in c++

SCN_Matlab OpenEdge ABL 64

Matlab reimplementation of SCNSR

sparse-structure-selection * Python 24

awesome-computer-vision * 5

A curated list of awesome computer vision resources

awesome-deep-vision * 5

A curated list of deep learning resources for computer vision

transfer-caffe * C++ 2

caffe for transfer learning

incubator-mxnet-bk Python 1

Int8_TRT_MNIST Python 1

neural-enhance * Python 1

Super Resolution for images using deep learning.

waifu2x * Lua 1

Image Super-Resolution for Anime-Style Art

awesome-deep-learning * 1

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

cifar.torch * Lua 1

92.45% on CIFAR-10 in Torch

MachineLearning * Matlab 1

Exercises for the Stanford/Coursera Machine Learning Class

waifu2x-converter-cpp * C++ 1

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

detectron2 * 0

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

subpixel * Jupyter Notebook 0

subpixel: A subpixel convnet for super resolution with Tensorflow

pysot * Python 0

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

mmdetection * Python 0

Open MMLab Detection Toolbox with PyTorch

mxnext * Python 0

simpledet-pub * Python 0

A Simple and Versatile Framework for Object Detection and Instance Recognition

autodidact * Python 0

A pedagogical implementation of Autograd

Detectron * Python 0

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

cocoapi * Jupyter Notebook 0

COCO API - Dataset @ http://cocodataset.org/

mxnet * Python 0

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

DALI * C++ 0

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

resnet.mxnet * Python 0

vim8 * Vim script 0

Configuration for Vim8

DPNs * Python 0

Dual Path Networks

video-nonlocal-net * Python 0

Non-local Neural Networks for Video Classification

Deformable-ConvNets * Python 0

Deformable Convolutional Networks

mx-maskrcnn * Python 0

An MXNet implementation of Mask R-CNN

progressive_growing_of_gans * Python 0

Progressive Growing of GANs for Improved Quality, Stability, and Variation

vision * Jupyter Notebook 0

Datasets, Transforms and Models specific to Computer Vision

mxnet-bk Python 0

dotfiles * Vim script 0

Personal configurations.

torch-opCounter * Lua 0

mx-rcnn * Python 0

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

faster_rcnn * Matlab 0

Faster R-CNN

fast-neural-style * Lua 0

Feedforward style transfer

wide-residual-networks * Lua 0

95.8% and 80% on CIFAR-10 and CIFAR-100

dpp * Python 0

Determinantal point process

LSUVinit * C++ 0

deep-residual-networks * 0

Deep Residual Learning for Image Recognition

500lines * JavaScript 0

500 Lines or Less

CaffeCN * C++ 0

caffecn_master

cuda-convnet2 * Cuda 0

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

awesome-rnn * 0

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