All software
SAGECal
Fast, memory efficient and GPU accelerated radio interferometric calibration program
- Big data
- GPU
- High performance computing
- C
- C++
- Cuda
- + 5
KaHyPar
KaHyPar is a fast, high-quality, and scalable algorithm for partitioning graphs and hypergraphs with billions of edges. It finds applications in minimizing communication costs for distributed (hyper)graph computations, quantum circuit simulations, storage sharding in databases, and VLSI design.
- Clustering
- Data analysis
- Graphs
- + 8
SeisBench: A toolbox for machine learning in seismology
SeisBench is an open-source Python toolbox for machine learning in seismology. It brings together the whole machine learning model lifecycle: datasets and benchmarks, models and training pipelines, and efficient implementations for deploying the models in production.
- Earth & Environment
- GPU
- Helmholtz AI
- + 4
- Jupyter Notebook
- Python
FlexiGIS
FlexiGIS is a software tool for processing and analysing GIS-based data to design urban energy systems. Models developed with FlexiGIS enable the exploration and assessment of flexibility options in cities.
- Data analysis
- Energy
- Energy planning
- + 4
- Python
- Makefile
AMIRIS
AMIRIS is the open Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. It aims at enabling scientists to dissect the complex questions arising with respect to future energy markets, their market design, and energy-related policy instruments.
- Agent-based Model
- electricity
- Energy
- + 4
- Java
- Python
- BibTeX
GAIA
A framework to study the thermo-chemical evolution of rocky and icy bodies (planets, moons, and planetoids) on a global scale in the solar system and beyond.
- CFD
- Computational Fluid Dynamics
- Earth & Environment
- + 4
OpenLB
OpenLB is a C++ package for the implementation of lattice Boltzmann methods (LBM) to address a vast range of transport problems, e.g. in computational fluid dynamics. The modular open source code enables fast implementation of academic test problems and advanced engineering applications.
- Computational Fluid Dynamics
- High Performance Computation
- Lattice Boltzmann Methods
- + 4
- C++
- C
- Python
- + 2
GSTools
GSTools is a Python-based software suite for solving a wide range of geostatistical problems. GSTools provides methods for generating different classes of correlated random fields; it can perform kriging, variogram estimation and much more.
- covariance-model
- geospatial
- geostatistics
- + 7
- Python
NNPDF
Fitting proton substructure to observation data using neural networks
- Machine learning
- Python
- Jupyter Notebook
- C
- + 5
MS2DeepScore
Deep learning based similarity measure of mass spectrometry data.
- Jupyter Notebook
- Python
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
GOLEM
GOLEM is a modelling platform for thermal-hydraulic-mechanical and non-reactive chemical processes in fractured and faulted porous media, based on the MOOSE framework
- Earth & Environment
- Multiphysics of porous fractured rocks
- reservoir behaviour and induced seismicity
- + 1
- C++
- SWIG
- Assembly
- + 5