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girls-in-ai

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

gmmdp_for_hic

GMMDP, hyperspectral images classification, multi-view learning

gnn_review

GNN综述阅读报告

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-neural-network

collect some papers about Graph Neural Networks(GNN)

graphconvsc

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image

grayscale_rnn

LSTM network to generate grayscale images using Keras/Python 3.6

hands-on-machine-learning-with-sklearn-tensorflow

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hc_adgan

Code for the paper "Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification"

hresnetam

A demo for the hierarchical residual network with attention mechanism for hyperspectral image classification

hrwn

This example implements the paper in review [Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture]

hsgan

Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks

hsi-classification

HyperSpectral Image Classification With DeepLearning

hsi-classification-gan

An implementation of HSI Classification using GANs

hsi-classification-using-grus

The repository contains hyperspectral data and GRU code for its classification.

hsi_bpn

This is a neural network tool for hyperspectral classification

hsn_v1

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

hwcc2020_rs_segmentation

“华为云杯”2020人工智能创新应用大赛-季军方案

hybrid-cnn-rnn-model-for-hyperspectral-satellite-image-classification

The following model uses hybrid CNN- RNN model for classification of each pixel to its corresponding classes. Further the code is developed to classify pixels in accordance with soft as well as hard classification techniques.

hybridsn

This is a tensorflow and keras based implementation of HybridSN in our paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

hybridsn-1

Code for 'HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification'. See

hypelcnn

A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data

hyperconv

HyperConv: Spatio-spectral Classification of Hyperspectral Images with Deep Convolutional Neural Networks

hypersectral-image_super-resolution

Spacial and Spectral Super resolution of a hyperspectral image containing more than 400 channels using 3D-SRCNN technique.

hyperspec-wgan

Synthetic Data Augmentation using a Generative Adversarial Network for Improved Hyperspectral Image Classification

hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.

hyperspectral-classification

Hyperspectral-Classification Pytorch