Paul Walter's Projects
The open-source tool for creating 3D models for CityJSON / CityGML
ONLINE PORTFOLIO FOR DEVELOPERS
Forked: Graph Machine Learning course, Xavier Bresson, 2023
Users can leverage Bash and Docker Compose to create the images or containers to create OCI containers, or Singularity for HPC systems with minamal code changes.
JuliaCon2023 Working with geographical data using DataFrames.jl presented during JuliaCon2023 Minisimposium "Tools and techniques of working with tabular data "
DatasetsForModellingMaps
Calculating the demographics of the people who have access to urban amenities within 0, 5, and 15 minutes walks.
Machine Learning Engineering Open Book
A collection of computational recipes for natcap analyses
InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.
API for analysing OpenStreetMap history data
(Modification: added a conda env ) A curated list of examples of using the https://github.com/giscience/ohsome-api
This platform has been designed to facilitate the development of digital twins and is characterised by the exclusive use of open source components. The aim is to achieve a platform that covers all the functionalities that a digital twin may require.
Jupyter Notebook examples of how to leverage Sedona For Local Overture Maps
An R Package that downloads Paycheck Protection Program loan data and reads it in as a tidy data set
Q Methodology System written in AngularJS, for q-sorting, and whose data can be collected for further analysis via R
Tensorflow Project: Making text a first-class citizen in TensorFlow.
Easily deploy a high-availability RKE2 Kubernetes cluster on OpenStack providers like Infomaniak.
This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.
(Modified to allow Podman to run it) User-friendly, commercial-grade software for processing aerial imagery. 🛩
This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of data scientists from IBM and Rolls-Royce for Emergent Alliance.