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mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

pseudo-3d-tensorflow

Tensorflow implement for Pseudo-3d-residual network.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch.ctpn

pytorch, ctpn ,text detection ,ocr,文本检测

pytorch_advancedeast

pytorch实现AdvancedEast+mobilenetv3

rdn-tensorflow

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

repvgg

RepVGG: Making VGG-style ConvNets Great Again

resnet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

srcnn

A course project on convolutional neural networks for single image super-resolution

srcnn-1

Tensorflow implementation of single image super-resolution using a Convolutional Neural Network

srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

srgan

SRGAN implemetation with TensorFlow

srgan-1

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srntt

Image Super-Resolution by Neural Texture Transfer

super_resolution_with_cnns_and_gans

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

tensorflow-espcn

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

tensorflow-vdsr

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

tensorflow-vdsr-1

TensorFlow implementation of very deep convolution network for image super-resolution, color

torch-pruning

A pytorch pruning toolkit for structured neural network pruning and layer dependency maintaining.

tutorial

videosuperresolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.