All software
nedextract
nedextract is a python library that helps you to extract information on person names and organisations mentioned in Dutch (annual report) PDF files.
- Python
- Jupyter Notebook
- Shell
Orange Hackathon
Orange modules for text processing in the project What Works When for Whom
- Jupyter Notebook
- Python
- CSS
- + 2
paradigma
A toolbox to calculate digital biomarkers for wearable sensors in Parkinson's disease.
- Python
- Jupyter Notebook
parareal
This package runs the parareal algorithm on a black-box simulator. Parallelisation is managed through Dask.
- High performance computing
- Numerical analysis
- CSS
- Jupyter Notebook
- Python
- + 5
ParticleDA.jl
Julia package to perform data assimilation with particle filters, supporting both thread-based parallelism and distributed processing using MPI.
- Data assimilation
- Julia Package
- Particle filter
- Julia
- Jupyter Notebook
- Shell
PyStemmusScope
A python package for running the STEMMUS-SCOPE model
- Jupyter Notebook
- Python
- Shell
- + 1
qalcore
Core Library of the Quantum Application Lab
- python
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
qc2
Quantum Computing for Quantum Chemistry
- quantum chemistry
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
quafing
Questionnaire analysis using Fisher Information Non-Parametric Embedding. Explore high-dimensional continuous and discrete questionnaire data sets.
- Data Analysis
- python
- Statistics
- Python
- Jupyter Notebook
- Shell
qubols
qubols allows to solve linear system using a QUBO approach that can be deployed on quantum annealers
- Numerical analysis
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
qubops
qubops allows to solve polynomial system of equations using a QUBO approach that can be deployed on quantum annealers
- Numerical analysis
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
REE-HDSC
Software developed in the project REE-HDSC (Recognizing Extracted Entities for the Historical Database Suriname Curacao, 2023-2024) of the Radboud University Nijmegen and the Netherlands eScience Center.
- hand-written text recognition
- named entity Recognition
- Jupyter Notebook
- Python
- HTML