home-strange-fish's repositories

Digital_refocusing_OCT_pytorch

Pytorch implementation of the paper“Digital refocusing based on deep learning in optical coherence tomography".

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simple_net

A simple deep neural network implemented in C++,based with OpenCV Mat matrix class

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SRFBN_CVPR19

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

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SRNTT

Image Super-Resolution by Neural Texture Transfer

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AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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awesome-image-denoising-state-of-the-art

awesome image and video denoising, state of the art networks

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Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

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BasicSR

Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.

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cvpr2019

cvpr2019/cvpr2018/cvpr2019 papers,极市团队整理

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Deep-Learning-with-TensorFlow-book

深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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EasyPR

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

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EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

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hello-world

say "hello world"

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lihang-code

《统计学习方法》的代码实现

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noise2self

A framework for blind denoising with self-supervision.

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NTIRE2019_EDRN

My solution for NTIRE2019 real super-resolution

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OISR-PyTorch

PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)

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Python-100-Days

Python - 100天从新手到大师

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

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Single-Image-Super-Resolution

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

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SRGAN_Wasserstein

Apply Waseerstein GAN into SRGAN, a deep learning super resolution model

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Super_Resolution_with_CNNs_and_GANs

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

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VideoSuperResolution

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

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