BalalaEnergyZQQ

BalalaEnergyZQQ's Stars

• macrozheng/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。

  Language:Java77.3k28.7k

• ntucllab/libact

  Pool-based active learning in Python

  Language:Python776174

• mhaut/hyperspectral_deeplearning_review

  Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

  Language:Python18456

• BehnoodRasti/HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox

  This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

  Language:MATLAB11848

• ArrowLuo/LLE_Algorithm

  locally linear embedding algorithm code write by matlab

  Language:Matlab2916

• danfenghong/IEEE_TGRS_GCN

  Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

  Language:Python23268

• jjwwczy/jjwwczy-SiameseNet-for-few-shot-Hyperspectral-Classification

  Language:Python146

• dhaalves/CEAL_keras

  Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper

  Language:Python3513

• nshaud/DeepHyperX

  Deep learning toolbox based on PyTorch for hyperspectral data classification.

  Language:Python431122

• polwork/Learning-and-Transferring-Deep-Joint-Spectral-Spatial-Features-for-Hyperspectral-Classification

  code for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"

  Language:MATLAB132

• manila95/BASS-Net

  Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

  Language:Lua6728

• hantek/deeplearn_hsi

  Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

  Language:Python10244

• bm424/mvcnmf

  Minimum-volume constrained non-negative matrix factorisation, adapted into Python from L. Miao and H. Qi, "Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization," in IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 3, pp. 765-777, March 2007 (ieeexplore.ieee.org/document/4106058/)

  Language:Python112

• xiangyongcao/CNN-AL-MRF

  This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".

  Language:MATLAB4115

• Vikki23/Demo_SSAL_SDP

  Demo for the proposed SSAL-SDP method, i.e., superpixel-based semisupervised active learning (SSAL) method with the density peak (DP) augmentation, for the hyperspectral image classification.

  Language:MATLAB178

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k687

• murphyyhuang/gnn_hierarchical_pooling

  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".

  Language:Python7413

• LEAP-WS/MDGCN

  Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification

  Language:Python10029

• renweidian/CSTF

  Implemention of paper “Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization (TIP 2018)"

  Language:MATLAB275

• renweidian/LRSR

  Implemention of paper “Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations"(IGARSS 2018)

  Language:C++156

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k45.5k

• Liyong8490/HSI-SR-GDRRN

  Single Hyperspectral Image Super-Resolution with Grouped Deep Recursive Residual Network

  Language:Python215

• acecreamu/deep-hs-prior

  Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

  Language:Jupyter Notebook12138

• renweidian/DHSIS

  Implemention of paper "deep hyperspectral image sharpening (TNNLS 2018)"

  Language:MATLAB358

• ColinTaoZhang/HSI-SR

  Hyperspectral Image Super-Resolution with Optimized RGB Guidance

  Language:C++92

• twtygqyy/pytorch-LapSRN

  Pytorch implementation for LapSRN (CVPR2017)

  Language:Python28079

• phoenix104104/LapSRN

  Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

  Language:Matlab448120

• junjun-jiang/Hyperspectral-Image-Super-Resolution-Benchmark

  A list of hyperspectral image super-solution resources collected by Junjun Jiang

  442120

• MIVRC/MSRN-PyTorch

  This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

  Language:Python29156

• yulunzhang/RCAN

  PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

  Language:Python1.4k313