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Stable Diffusion web UI
Keras code and weights files for popular deep learning models.
Source code of the MLBS algorithm for hyperspectral band selection.
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image
刘启超, 肖亮, 刘芳, 徐金环. SSCDenseNet:一种空-谱卷积稠密网络的高光谱图像分类算法[J]. 电子学报, 2020, 48(4): 751-762. LIU Qi-chao, XIAO Liang, LIU Fang, XU Jin-huan. SSCDenseNet:A Spectral-Spatial Convolutional Dense Network for Hy…
小小商城系统，JavaWEB项目，基于SSM，仿天猫页面，功能齐全，实现了自动处理关联查询的通用Mapper、抽象 BaseService 类、注解鉴权、参数注解校验等
Springboot+mybatisplus+Layui+mysql制作的图书管理系统
Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support Vector Machines(svm) to classify pixels.
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"
Motor Imagery-based Brain-Computer Interfaces (MI-BCI) are a promise to revolutionize the way humans interact with machinery or software, performing actions by just thinking about them. Patients su…
Hyperspectral CNN compression and band selection
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
This project aims to classify hyperspectral images accurately using SVM (Support Vector Machines)
The code of paper "Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification"
Band selection and classification of hyperspectral images using Multi-objective Genetic Algorithms
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.
Search the best feature subset for you classification mode
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
支持向量机(SVM)——分类预测，包括多分类问题，核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等
Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。