Pinned Repositories
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
BasicSR
Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
caffe-vdsr
A Caffe-based implementation of very deep convolution network for image super-resolution
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
EDSR-Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
image-super-resolution
Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
neural-enhance
Super Resolution for images using deep learning.
zieglerservice's Repositories
zieglerservice/EDSR-Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
zieglerservice/image-super-resolution
Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
zieglerservice/neural-enhance
Super Resolution for images using deep learning.
zieglerservice/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
zieglerservice/BasicSR
Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
zieglerservice/caffe-vdsr
A Caffe-based implementation of very deep convolution network for image super-resolution
zieglerservice/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
zieglerservice/Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
zieglerservice/CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
zieglerservice/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
zieglerservice/FALSR
Fast, Accurate and Lightweight Super-Resolution models
zieglerservice/Fresnel
Calculate Fresnel diffraction patterns for arbitrary aperture and distance
zieglerservice/Hou_Huayuan
zieglerservice/Image-Super-Resolution-1
Implementation of Super Resolution CNN in Keras.
zieglerservice/isp
camera pipeline
zieglerservice/Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
zieglerservice/models
Models and examples built with TensorFlow
zieglerservice/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
zieglerservice/R-DFPN_FPN_Tensorflow
R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)
zieglerservice/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
zieglerservice/SelfExSR
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)
zieglerservice/Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
zieglerservice/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
zieglerservice/SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
zieglerservice/super-resolution
collection of super-resolution models & algorithms
zieglerservice/torchbench
Easily benchmark machine learning models in PyTorch
zieglerservice/voxelmorph
Unsupervised Learning for Image Registration
zieglerservice/wodeku