Zhandiwa's starred repositories
IEEE_TGRS_SpectralFormer
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
IGARSS_2021_SSGPN
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ECA-FCNUNet
hyperspectral image classification based on semi-supervised
Attention3d-codebase
Implementation of 3D attention mechanisms based on https://github.com/LeftAttention/Attention-Codebase. Thanks to LeftAttetnion for sharing the implementation of 2D attention mechanisms.
Attention-Codebase
Implementation of various attention mechanisms
WHU-OHS-Pytorch
Pytorch toolbox for large-scale hyperspectral image classification using WHU-OHS dataset
IEEE_TGRS_AMGCFN
H. Zhou, F. Luo, H. Zhuang, Z. Weng, X. Gong and Z. Lin, "Attention Multi-hop Graph and Multi-scale Convolutional Fusion Network for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3265879.
Spa-Spe-TR
[GRSL 2022] Official implementation of "Two-Branch Pure Transformer for Hyperspectral Image Classification".
3DOC-SSAN-PyTorch
A PyTorch implementation of paper: Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network (https://ieeexplore.ieee.org/document/9140029)
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Convolutional-Vision-Transformer
Pytorch code for ConViT( Improving Vision Transformers with Soft Convolutional Inductive Biases) ICML 2021
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
bottleneck-transformer-pytorch
Implementation of Bottleneck Transformer in Pytorch