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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

deepsatmodels

Deep learning models for remote sensing applications

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

ee-examples

eeus2018-jupytersession

Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.

esip2018-ee

Jupyter Notebooks for the Earth Engine / Jupyter session at the 2018 ESIP Summer Meeting (http://meetings.esipfed.org).

example-scripts

Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.

fq_modelling_2018

Working repository for grassland FQ modelling with HS data

grassland_2018

Grassland field work in 2018.

hexagon_tiles

Create new hexagon tile data for administrative boundaries

jblog

Personal website for Jayan Wijesingha

keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

landsat-croptype-spatial-temporal-transferability

lulcmapping-wv3images-corine-dlmethods

Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images

multiclass-segmentation-in-unet

Multiclass segmentation on the Oxford-IIIT Pet dataset using the U-Net dataset.

point_cloud

This repository contains the codes for laser scanner poin cloud and photoscan point cloud processing for biomass estimation.

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

quickr

radar_wetlands

:satellite: Scripts written for radar data processing. Supplementary material for my paper called 'Monitoring surface water cover change in Hungarian wetlands with Sentinel-1 radar using Google Earth Engine'

rmarkdown_ioslides_gnr

rs-semantic-segmentation

A collaborative working space for developing methods for remote sensing image semantic segmentation

selfmedmae

Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

timematch

A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.

wvview_geodl_examples

Deep learning examples for geospatial deep learning