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a-fast-3d-cnn-for-hsic

The following demo is associated with the following paper "A Fast 3D CNN for Hyperspectral Image Classification".

an-unexpectedly-large-count-of-trees-in-the-western-sahara-and-sahel

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

biomass-dl

Applying point cloud deep learning to estimate tree aboveground biomass.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

canopylazr

R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

data_fusion_hsi_lidar

HSI and LiDAR image fusion based on Deep Learning

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dlpipeline

Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning

dpcr-agb

This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

eewpython

A series of Jupyter notebook to learn Google Earth Engine with Python

gee-python

google-earth-engine-python-examples

Various examples for Google Earth Engine in Python using Jupyter Notebook

gptour

Quick, straight to the point tour on how to implement genomic prediction (GP) in R

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.

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".

hyperdensenet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

hyperspectral-image-spatial-super-resolution-via-3d-full-convolutional-neural-network

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

icepyx

Python tools for obtaining and working with ICESat-2 data

image_processing_and_deep_learning

introtor

Material for the Intro To R Class

keras-resnet3d

Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.

lidrbook

The lidR package tutorials book :book:

lidrmetrics

Additional point cloud metrics to use with *_metric functions in lidR

machine-learning

mathematical-optimization

Combinatorial Optimization with Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS), and a hybrid of these algorithms

maxar-open-data

The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

ml_projects