Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
CoupledNODE
CoupledNODE.jl is a SciML repository that extends NODEs (Neural Ordinary Differential Equations) to C-NODEs (Coupled Neural ODEs), providing a data-driven approach to modelling solutions for multiscale systems when exact solutions are not feasible.
- Julia Language
- Julia Package
- Machine learning
- + 1
- (Julia)
- (Shell)
Cross-perspective Topic Modeling
An application that uses cross-perspective topic modeling to extract topics and opinions from text and provides insight into how they change over time.
- Text analysis & natural language processing
- ("Jupyter Notebook")
- (Python)
- (Shell)
rcrisp
rcrisp provides tools to automate the morphological delineation of riverside urban areas.
- Data Analysis
- geospatial
- R
- + 1
- (R)
- (TeX)
Cronian
Cronian is a Python package for building copper plate optimization models in Pyomo to optimize flexibility scheduling in multi-carrier integrated energy systems, which are specified through simple YAML and CSV files.
- (Python)
- (Shell)
cudawrappers
The cudawrappers library is a C++ wrapper for the Nvidia C libraries such as the CUDA driver, NVRTC, and cuFFT.
- accelerators
- CUDA
- GPU
- (C)
- (C++)
- (CMake)
- + 2
The Cultural Heritage AI Cookbook: Notebooks
Google Colab notebook that uses large language models for analyzing and expanding text metadata related to cultural heritage
- cultural heritage
- large language models
- named entity linking
- + 2
- ("Jupyter Notebook")
- (Python)
DALES
DALES is a large-eddy simulation code designed for studies of the physics of the atmospheric boundary layer, including convective and stable boundary layers as well as cloudy boundary layers.
- (C)
- (CMake)
- (Fortran)
- + 8
Data Processing (What Works When for Whom)
Data processing scripts for the project What Works When for Whom
- ("Jupyter Notebook")
- (Python)
- (Shell)
dCacheFS
Python file-system interface for dCache storages.
- Data
- Inter-operability & linked data
- Optimized data handling
- + 1
- ("Jupyter Notebook")
- (Python)
DeepRank
Deep learning framework for data mining protein-protein interactions using CNN
- Big data
- Machine learning
- Optimized data handling
- (C)
- (Makefile)
- (Python)
- + 2
DeepRank2
DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants. This package is an improved and unified version of three previously developed packages: DeepRank, DeepRank-GNN and DeepRank-Mut.
- Cancer vaccine
- Convolutional Neural Network
- Deep Learning Framework
- + 5
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
- + 1
DeepRank GNN
DeepRank-GNN is the graph neural network of our DeepRank package. DeepRank GNN allows to train graph neural networks to classify protein-protein interface
- Machine learning
- Protein-Protein Interaction
- (Python)