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inpainting_gmcnn

Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

interpy-zh

📘《Python进阶》（Intermediate Python 中文版）

introductiontoalgorithms

The implementations of Introduction to Algorithms.

invesalius3

3D medical imaging reconstruction software

itk

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

keras-gan

Keras implementations of Generative Adversarial Networks.

learn

learned_gradient_tomography

Solving ill-posed inverse problems using iterative deep neural networks

learned_primal_dual

Learned Primal-Dual Reconstruction

learngit

low-level-vision-zoo

A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .

low_dose_ct

Deep Convolutional Framelet Denoising for Low-Dose CT via Wavelet Residual Network

machine-learning-in-action-python3

《机器学习实战》python3源码

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-programming-assignments-coursera-andrew-ng

Solutions to Andrew NG's machine learning course on Coursera

machine_learning_study_path

机器学习过程中所看的书，视频和源码

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/

madc

Truncated Low-Rank and Total p Variation Constrained Color Image Completion and its Moreau Approximation Algorithm

mall

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

martin

mastering-opencv-4-third-edition

Mastering OpenCV 4, Third Edition, published by Packt publishing

matconvnet-contrib

MatConvNet contributions

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)

mctv_l2

MRI reconstruction via non-convex total variation regularization

mcwnnm-iccv2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

medaep

Multi-channels and Multi-models based Autoencoding Priors for Grayscale Image Restoration

medaep-1

Clone for Multi-channels and Multi-models based Autoencoding Priors for Grayscale Image Restoration

medical-imaging-datasets

A list of Medical imaging datasets. Source : https://sites.google.com/site/aacruzr/image-datasets