University of Twente
Dutch university with a strong focus on engineering and technology.
Aiida-CHAMP
The aiida-champ plugin to handle the CHAMP workflow using AiiDA.
- python
- workflow
- Python
- Shell
ARISE biocloud
The Biocloud is the underlying digital back-end infrastructure of the ARISE program.
Clustering Geo-data Cubes
Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.
- Big data
- geospatial
- Machine learning
- + 1
- Python
- Jupyter Notebook
- TeX
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
Code Auditor
A package and command-line utility to audit code quality and compliance to the best practices.
- code quality
- conformity assessment
- software development
- Python
Data Processing (What Works When for Whom)
Data processing scripts for the project What Works When for Whom
- Jupyter Notebook
- Python
- Shell
DumME
Scikit-learn compatible version of Mixed-Effects Random Forests
- Python
Emo-spectre
Interactive visualization and exploration of multi modal time-series data and video
- Visualization
- Workflow technologies
- PLpgSQL
- Vue
- JavaScript
- + 5
fairtool
Fairtool is a simple Python package to make your computational materials data FAIR. It comes with a command-line interface to transform the raw output into both machine-readable and human-readable outputs. It optionally allows the user to visualize the entire dataset locally on a web server.
- Computational Physics
- Data Analysis
- FAIR
- + 4
- Python
Foot Progression Angle Estimation
Use a single Accelerometer and Gyroscope on the foot to determine foot progression angle during walking.
- FPA
- IMU
- Single sensor
- MATLAB
GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- Jupyter Notebook
- Python
- PureBasic
- + 1
HPGEM
hpGEM is a C++ partial differential equation solver. It is intended for Discontinuous Galerkin Finite Element Methods, but can also do normal (conforming) Finite Element Methods and Finite Volume.
- Finite Element
- High performance computing
- C++
- CMake
- TeX
- + 6