Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
CHAMP-EU
The Cornell-Holland Ab-initio Materials Package (CHAMP) is a quantum Monte Carlo suite of programs for electronic structure calculations. The code is developed by Claudia Filippi and Saverio Moroni, with significant contributions by Ravindra Shinde, N. Renaud, V. Azizi, E. Landinez, and S. Shepard.
- Chemistry
- High performance computing
- Physics
- + 1
- C
- Fortran
- Nemerle
- + 16
check-deps
This Python script checks whether a given set of software dependencies is met. This script itself is completely stand-alone and depends only on Python being installed. You may include this script along with a `dependencies.ini` in a project that has a diverse set of dependencies.
- Dependency Hell
- python
- Workflow technologies
- Python
- CSS
- Awk
- + 1
Chemical Analytics Platform
Chemical Analytics Platform is a freely available Virtual Machine encompassing tools, databases, and KNIME workflows.
- Workflow technologies
- Shell
- Smarty
Cityblocks
Python utility to generate local climate zone (LCZ) tiles for rendering in 3D in QGIS
- QML
- Python
classmodel/form
Form component that renders a JSON schema using Solid UI components.
- TypeScript
- Jupyter Notebook
- JavaScript
- + 2
CLASS-web
Implementation of the Chemistry Land-surface Atmosphere Soil Slab (CLASS) model that runs entirely in the browser. For more information on CLASS, see https://classmodel.github.io/.
- web service
- TypeScript
- Jupyter Notebook
- JavaScript
- + 2
cleanX
CleanX is an open-source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.
- Image processing
- Machine learning
- Jupyter Notebook
- Python
- TeX
- + 3
Climate Rapid Evaluation Framework
Rapid Evaluation Framework for climate simulations
- Big data
- Climate modeling
- Python
- HTML
- TeX
- + 4
CoeusAI
The CoeusAI QGIS plugin is designed for exploration of multiband geospatial datasets. It lets the user iteratively train and retrain segmentation models in seconds. A combination of Deep learning and traditional machine learning is used, leveraging the best of both methods.
- deep learning
- gis
- Machine learning
- + 2
- Python
Compass-school
This Python implementation tries to model school choice and resulting school segregation based on the work of Schelling (1971) and Stoica & Flache (2014).
- Agent-based modeling
- Python
- HTML
Compas Toolkit
The Compas Toolkit is a high-performance C++ library offering GPU-accelerated functions for use in quantitative MRI research.
- GPU
- High performance computing
- MRI
- Cuda
- C++
- Julia
- + 4
ConvolutionalNeuralOperators.jl
Julia package to implement Convolutional Neural Operators
- Julia Package
- Machine learning
- Scientific machine learning
- Julia