All software
UNSAT3D
Soil health is essential for infrastructure and plant growth. The UNSAT project aims to improve 3D soil image processing using machine learning and high-fidelity simulation data to study water transport and root-soil interactions during maize growth.
- Data Analysis
- Machine learning
- Python
- Shell
Verticox+
Verticox+ is a Cox proportional hazards algorithm for vertically distributed data. The solution is based on the Verticox algorithm from Dai et al., 2022. It has been adapted to be used within the Vantage6 framework.
- federated learning
- Java
- privacy preservation
- + 3
- Jupyter Notebook
- Python
- Java
- + 4
vqls-prototype
Variational Quantum Linear Solver Library.
- Numerical analysis
- Quantum Computing
- Python
wntr-quantum
wntr-quantum (pronounced winter-quantum) extends the capabilities of the popular wntr package for water network modelling and analysis to quantum computing routine.
- Quantum Computing
- Water Distribution Networks
- Python
- Shell
xarray-regrid
An xarray plugin that adds regridding utilities for datasets and dataarrays.
- geospatial
- python
- xarray
- Python
Xenon Docker images
For your testing needs a collection of Docker images with different file systems and batch schedulers.
- High performance computing
- Workflow technologies
- Shell
- Dockerfile
- Roff
- + 4
XrayTIFF2h5
This repository provides a workflow to transform X-rays data originally stored in .TIFF format, into .h5. Overall, this makes the data more compressed and easier to process in machine learning pipelines, such as unsat.
- Optimized data handling
- Workflows
- Python
- Makefile
yatiml
Python library for YAML type inference, schema checking and syntactic sugar.
- Python
- Shell
Yoda
A system for reliable, long-term storing and archiving large amounts of research data during all stages of a study.
- HTML
- Jinja
- Python
- + 5
zampy
Tool for downloading Land Surface Model input data
- Data
- Data management
- Workflow technologies
- Python
Zeeschuimer
Zeeschuimer is a browser extension that monitors traffic while browsing social media, and collects seen posts/items for later systematic analysis. Its target audience is researchers who study content on social media platforms that resist conventional scraping or API-based data collection.
- Browser Extension
- Social media
- + 3
- JavaScript
- HTML
- Python
- + 2