konstantinklemmer

pe-gnn

PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"

spate-gan

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss

spacegan

SpaceGAN - Augmenting spatial correlation structures

sxl

SXL: Spatially explicit learning of geographic processes with auxiliary tasks

geopointgan

urbanscience

Curated list of Urban Science publishing outlets

bikecommclust

Complementary code for the LondonBike dataset and arXiv:1804.05584 preprint

awesome-forests

🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.

CUSP_London_DataDive

TeamD

geographic-data-science

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

ivy

The Unified Machine Learning Framework

konstantinklemmer-test.github.io

Website test

konstantinklemmer.github.io

Personal website

r-spatial.org

r-spatial.org blog sources

spatial_utilities

Utilities for spatial analysis and ML

the-gan-zoo

A list of all named GANs!

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

warwick-thesis-template