bianxiaodu

bianxiaodu's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.5k7551.3k7.9k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.5k73202.5k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.5k2922022.6k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k1772.8k3k

• CVHub520/X-AnyLabeling

  Effortless data labeling with AI support from Segment Anything and other awesome models.

  Language:Python4.4k35702497

• benedekrozemberczki/karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  Language:Python2.2k40122247

• willard-yuan/awesome-cbir-papers

  📝Awesome and classical image retrieval papers

  1.7k9710292

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.6k543164

• Candy-CY/Hyperspectral-Image-Classification-Models

  收录及复现的高光谱遥感图像分类模型

  Language:Python65331084

• sunfanyunn/InfoGraph

  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

  Language:Python31471245

• WHU-Sigma/HyperSIGMA

  The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

  Language:Python16541716

• rsdler/Remote-Sensing-in-CVPR2024

  Papers related to remote sensing in CVPR 2024

  154209

• dongkyunk/DOLG-pytorch

  Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

  Language:Python1313215

• JHL-HUST/NAGphormer

  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

  Language:Python1173815

• LiuChuang0059/graph-pooling-papers

  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)

  1133111

• lloydwindrim/hyperspectral-autoencoders

  Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.

  Language:Python1136533

• MeiShaohui/3DCAE-hyperspectral-classification

  Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

  Language:Python853531

• hazdzz/awesome-gnn

  A list for GNNs and related works.

  83409

• gokling1219/DMVL

  Deep Multiview Learning for Hyperspectral Image Classification

  Language:Python26105

• jjwwczy/ContrastNet-Unsupervised-Feature-Learning-by-Autoencoder-and-Prototypical-Contrastive-Learning

  Hyperspectral Classification

  Language:Python23104

• cszhangzhen/MVPool

  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)

  Language:Python22132

• gokling1219/UM2L

  Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification

  Language:Python18122

• ZobairHussain/Hyperspectral-Image

  A Comparison of Supervised and Unsupervised Dimension Reduction Methods for Hyperspectral Image Classification.

  Language:Python17005

• JC-202/CAGNN

  Language:Python15301

• senjia1980/FG-SuULDA

  The code of the paper "Flexible Gabor-based Superpixel-level Unsupervised LDA for Hyperspectral Image Classification".

  Language:MATLAB15116

• hszhaohs/SSGA

  The code of paper "Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification"

  Language:MATLAB10111

• ZhehengJiang/GCAN

  Graph-context Attention Networks for Size-varied Deep Graph Matching

  Language:Python10225

• isfengg/Graphormer

  Language:Python8000

• michalhuras/Unsupervised-hyperspectral-image-classification

  Language:Python6105

• qiangchi/SSL-for-HSI-classification

  Code for a paper accepted by TGRS

  Language:Python10