Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
3d-unet
Chainer implementations of 3D UNet
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
ADMM-Total-Variation
Some other ADMM total variation codes
ADMM_NET_CT
DEEP_ADMM_NET_FOR_CT
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
AEDS-Limited-angle-reconstruction-
An image reconstruction code for limited-angle Computed Tomography
anisotropic-osmosis-filter
This is the companion software for the paper "Anisotropic osmosis filtering for shadow removal in images".
Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
Attention-PyTorch
注意力机制实践
ZhaoqiangShen's Repositories
ZhaoqiangShen/SRN-Deblur
Repository for Scale-recurrent Network for Deep Image Deblurring
ZhaoqiangShen/FIMA
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems (TPAMI 2019)
ZhaoqiangShen/reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
ZhaoqiangShen/HNHOTV_OGS
Hybrid higher order non-convex total variation with overlapping group sparsity image denoising
ZhaoqiangShen/MachineLearning-DeepLearning-NLP-LeetCode-StatisticalLearningMethod-TensorFlow
最近在学习机器学习,深度学习,自然语言处理,统计学习方法等知识,理论学习主要根据readme的链接,在学习理论的同时,决定自己将学习的相关算法用Python实现一遍,并结合GitHub上相关大牛的代码进行改进,本项目会不断的更新相关算法,欢迎star,fork和关注。 主要包括: 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现, 2.deeplearning.ai(吴恩达老师的深度学习课程笔记及资源) Python实现, 3.李航《统计学习方法》 Python代码实现, 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现, 5.LeetCode刷题,题析,分析心得笔记 Java和Python代码实现, 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow:实战Google深度学习框架(第二版) Python代码实现, 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源,我也准备自己实现一下,后续会更新笔记,代码和百度云网盘链接。 这个项目主要是学习算法的,并且会不断更新相关资源和代码,欢迎关注,star,fork! Min's blog 欢迎访问我的博客主页! (Welcome to my blog website !)https://liweimin1996.github.io/
ZhaoqiangShen/MATLAB-Python-inpainting-codes
This is the companion software for the book "Partial Differential Equation Methods for Image Inpainting" (C.-B. Schönlieb, Cambridge University Press, 2015)
ZhaoqiangShen/anisotropic-osmosis-filter
This is the companion software for the paper "Anisotropic osmosis filtering for shadow removal in images".
ZhaoqiangShen/FFM
It is the implement of paper “Fractional-Order Fusion Model for Low-Light Image Enhancement”
ZhaoqiangShen/Fundamentals-of-Python-Data-Structures
《数据结构(Python语言描述)》"Fundamentals of Python:Data Structures" 电子书和配套代码
ZhaoqiangShen/radio
RadIO is a library for data science research of computed tomography imaging
ZhaoqiangShen/machine-learning-programming-assignments-coursera-andrew-ng
Solutions to Andrew NG's machine learning course on Coursera
ZhaoqiangShen/Operation-wise-attention-network
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019)
ZhaoqiangShen/Image-Denoising-Benchmark
Collection of image denosing tool in an unification Matlab code
ZhaoqiangShen/toolbox
Piotr's Image & Video Matlab Toolbox
ZhaoqiangShen/Hyperspectral-Image-Denoising-Benchmark
A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.
ZhaoqiangShen/Fractional-Cover-Image-Analysis
This project processes camera images into percent GV, NPV, and Soil
ZhaoqiangShen/Mastering-OpenCV-4-Third-Edition
Mastering OpenCV 4, Third Edition, published by Packt publishing
ZhaoqiangShen/CNN-MAR
Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography
ZhaoqiangShen/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
ZhaoqiangShen/Movie_Recommend
基于Spark的电影推荐系统,包含爬虫项目、web网站、后台管理系统以及spark推荐系统
ZhaoqiangShen/Image-Smoothing-State-of-the-art
Image Smoothing: State-of-the-art
ZhaoqiangShen/CSET
CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that consists of algebraic iterative algorithms (SART and SIRT) with total variation (TV) based CS. In addition, it integrates a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) that is an acceleration method to speed up the algorithm convergence.
ZhaoqiangShen/MRI-Pre-processing
Almost in every image processing or analysis work, image pre-preprocessing is crucial step. In medical image analysis, pre-processing is a very important step because the further success or performance of the algorithm mostly dependent on pre-processed image. In this lab, we are working with 3D Brain MRI data. In case of working with brain MRI removing the noise and bias field (which is due to inhomogeneity of the magnetic field) is very important part of preprocessing of brain MRI. To do so, we widely used algorithm Anisotropic diffusion, isotropic diffusion which can diffuse in any direction, and Multiplicative intrinsic component optimization (MICO) have been used for noise removal and bias field correction respectfully. Both quantitative and qualitative performance of the algorithms also have been analyzed.
ZhaoqiangShen/CycleGAN_ssim
Comparing different similarity functions for reconstruction of image on CycleGAN. (https://tandon-a.github.io/CycleGAN_ssim/) Training cycleGAN with different loss functions to improve visual quality of produced images
ZhaoqiangShen/code_SMFLRTC
matlab code
ZhaoqiangShen/opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
ZhaoqiangShen/cplusplus-_Implementation_Of_Introduction_to_Algorithms
《算法导论》第三版中算法的C++实现
ZhaoqiangShen/TDV-for-image-denoising
This is the companion software for the paper "Higher-Order Total Directional Variation. Part I: Imaging Applications".
ZhaoqiangShen/Haze-Removal
Summary of image dehazing papers and experiments
ZhaoqiangShen/modl
MoDL: Model-Based Deep Learning Architecture for Inverse Problems