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assmn

The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).

awesome-pansharpening

This repository collects pan-sharpening methods, codes, and datasets.

bayesr

The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

coursera-ml-using-matlab-python

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

datsr

Reference-based Image Super-Resolution with Deformable Attention Transformer

dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

double-branch-dual-attention-mechanism-network

⭐ Welcome to my HomePage ⭐

ds-transunet

This repository contains the official code of DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

eccv2020_cucanet

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution, ECCV, 2020. (PyTorch)

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fr-pansh-eval-tool

fsrcnn-pytorch

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

fusionnet

LJ. Deng, et al., "Detail Injection-based Deep Convolutional Neural Networks for Pansharpening", TGRS, 2020

gppnn

gtp-pnet

Code of GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening.

guided-deep-decoder

Code of 'Guided Deep Decoder: Unsupervised Image Pair Fusion'

hezhongchen-1998.github.io

hsi-classification

hyperfusion

ieee_tip_sdenet

Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification, IEEE TIP, 2023.

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

lihang-code

《统计学习方法》的代码实现

m3dnet

This is the code for the paper "M3DNet: Integrating Model-driven and Data-driven Approaches for Pansharpening".

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-in-action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

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！

mcm-icm

2004-2017美赛O奖论文

mcm-icm-1

Learning materials and codes of MCM/ICM

mdcwfb

MDCwFB: A Multilevel Dense Connection Network with Feedback Connections for Pansharpening