1huang,github

bass-net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

This project implements blockchain applications for climate action and accounting, including emissions calculations, carbon trading, and validation of climate claims. It is part of the Linux Foundation's Hyperledger Climate Action and Accounting SIG.

bloom-contrib

Making carbon footprint data available to everyone.

carbon-footprint

Calculate your carbon footprint 🏭👣 from food, transport, purchases, fashion, electricity and digital activities like streaming, NFT or blockchain.

carbon-footprint-multi-agent-reinforcement-learning

Reducing Global Carbon Footprint based on Multi-Agent Reinforcement Learning - School of AI Fellowship Research

carbonalyser

The add-on "Carbonalyser" allows to visualize the electricity consumption and greenhouse gases (GHG) emissions that your Internet browsing leads to.

carbontracker

Track and predict the energy consumption and carbon footprint of training deep learning models.

carbonvisualizer

Beginning Scene Kit Tutorial [RayWenderlich Tutorial]

classification-of-hyperspectral-image

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

co2-data

Data on CO2 and greenhouse gas emissions by Our World in Data

compressive-sensing-and-deep-learning-framework

We propose Compressive Sensing and Deep Learning framework (CS-DL) for multiple satellite sensor based data fusion. It’s aims to improve spatial and temporal resolution for long term analysis. Compressive Sensing is used as an initial guess to combine data from multiple sources. Deep Learning model, using Long Short Term Memory Neural Network (LSTM/RNN) refines and further improves the resulting data fusion output from CS. Our CS-DL framework has been tested to fuse CO2 from the NASA Orbiting Carbon Observatory-2 (OCO-2) and the JAXA Greenhouse gases from Orbiting Satellites (GOSAT). It achieves lower errors and high correlation compared with the original data. This work demonstrates the use of CS-DL for fusing CO2 from NASA Orbiting Carbon Observatory-3 and GOSAT2 at higher resolution.

copilot-docs

Documentation for GitHub Copilot

data_assimilation

MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-tensor-factorization-for-hyperspectral-image-classification

Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.

deephypercnn

Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks

demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

dimensionality_reduction_alo_codes

PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

ece697sp-hyperspectral-project

Our final class project. Hyperspectral image classification.

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

gelm-ae-al

The following demo comes for two papers "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" and "Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification".

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hsi-classification

Hyperspectral image classification with varies image processing and machine learning methods.

hsi_classification

Hyperspectral image classification

hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.

hyperspectral-classification-with-svm

This repo contains an illustration of the use of kernel support vector machine for hyperspectral image classifiication as well as a comparison with least sqaure methods.

hyperspectral-image-classification-by-3d-gabor-wavelets

This is my Graduate Project on hyperspectral image classification.

hyperspectral-knn-classification

This work contains KNN classification of Hyperspectral Satellite Images using the given groundtruth and finding success rate of the method. You can download the hypersectral images using the link below :http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes&redirect=no#Pavia_University_scene

hyperspectral_classification_rmg

Matlab code for our JARS18 paper "Spectral and spatial classification of hyperspectral image based on random multi-graphs"

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