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trying

a2s2k-resnet

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

axial-positional-embedding

Axial Positional Embedding for Pytorch

biblosa

Bi-Directional Block Self-Attention

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

compression-dct

Implementation of Image compression using DCT

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

cream

This is a collection of our NAS and Vision Transformer work.

cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

deephyperx-2

The another version of DeepHyperX

deeptreeattention

Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction

dl_for_rsis

Deep Leaning (DL) for remote sensing image (RSI) classification.

double-branch-dual-attention-mechanism-network

This repository implementates 6 frameworks for hyperspectral image classification based on PyTorch and sklearn.

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

external-attention-pytorch

Pytorch implementation of various Attention Mechanism

f2hnn

Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network

freenet

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

hgnn

Hypergraph Neural Networks (AAAI 2019)

hsi_bert

hsi_ssftt

This is the code package for Spectral-Spatial Feature Tokenization Transformer for Hyperspectral Image Classification

hybridsn

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

hyftech-hyperspectral-shallow-deep-feature-extraction-toolbox

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

hyperae

Hypergraph Structured Deep Auto-encoders for Hyperspectral Image Clustering and Semi-Supervised Classification

ieee_tgrs_gcn

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.

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), 2022

leetcode_diary

Leetcode is all you need

libfewshot

LibFewShot: A Comprehensive Library for Few-shot Learning.

linear-attention-mechanism

localvit