home-strange-fish's starred repositories

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

Language:PythonLicense:MITStargazers:15992Issues:221Issues:156

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

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stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

Language:PythonLicense:NOASSERTIONStargazers:4000Issues:50Issues:262

Stanford-CS-229

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

Language:MATLABLicense:GPL-3.0Stargazers:3292Issues:171Issues:32

Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

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

Collection of popular and reproducible image denoising works.

Mario-Level-1

The first level of Super Mario Bros made with Python and Pygame.

USRNet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

ACNet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Language:PythonLicense:MITStargazers:822Issues:14Issues:49

solutions

《神经网络与深度学习》课后习题答案-分享讨论

Trending-Deep-Learning

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

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

awesome image and video denoising, state of the art networks

video-enhancement

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

pytorch-SRResNet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

Language:PythonLicense:MITStargazers:473Issues:20Issues:32

Imooc-Algorithm-PythonEdition

慕课网的实战课程“算法与数据结构“的全python实现

Awesome-Super-Resolution

A curated list of awesome super-resolution resources.

SelfDeblur

Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

noise2self

A framework for blind denoising with self-supervision.

Language:Jupyter NotebookLicense:MITStargazers:325Issues:16Issues:10

traiNNer

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Language:PythonLicense:Apache-2.0Stargazers:284Issues:13Issues:36

ACL-GAN

Unpaired Image-to-Image Translation using Adversarial Consistency Loss, ECCV 2020

Language:PythonLicense:NOASSERTIONStargazers:147Issues:7Issues:15

DBSN

Unpaired Learning of Deep Image Denoising

RDN-pytorch

PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

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PythonSuperMario

SuperMarioBros game written by python (support level 1-1 to level 1-4)

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DL-SR

Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-field (WF) image super-resolution prediction and SIM reconstruction.

Language:MATLABLicense:MITStargazers:91Issues:1Issues:23

learned_gradient_tomography

Solving ill-posed inverse problems using iterative deep neural networks

ImageRegistration

Medical Image Registration using Mutual Information

Language:C++License:MITStargazers:50Issues:3Issues:2

fourier-deconvolution-network

Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)

Language:Jupyter NotebookLicense:BSD-2-ClauseStargazers:37Issues:7Issues:1

NWSR

Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation

SR-cycleGAN

CycleGAN for super-resolution: from Clinical CT to Micro CT

Language:PythonLicense:NOASSERTIONStargazers:15Issues:2Issues:3