All software
openCARP
openCARP is a multiscale cardiac electrophysiology simulator for in silico experiments ranging from single heart cells and cardiac tissue to organ models up to the body surface ECG.
- computational cardiology
- digital twin
- electrophysiology
- + 3
- C++
- Python
- CMake
- + 2
AROSICS
AROSICS is an automated and robust open-source image co-registration software for multi-sensor satellite data.
- Earth & Environment
- Fourier Shift Theorem
- Geometric Pre-processing
- + 8
- Python
- Shell
4C Multiphysics
4C is a parallel multiphysics research code for simulating solid/fluid mechanics, scalar transport, and chemical reactions. It supports both single-field and coupled systems, offering ready-to-use solutions for a wide range of physical problems.
- Computational Fluid Dynamics
- High performance computing
- Information
- + 3
- C++
- CMake
- Python
- + 6
MIRP
MIRP is a python package for quantitative analysis of medical images. It focuses on processing images for integration with radiomics workflows. These workflows either use quantitative features computed using MIRP, or directly use MIRP to process images as input for deep learning models.
- Medical Image Processing
- python
- radiomics
- Python
- Jupyter Notebook
- R
- + 2
NetworKit
NetworKit is a growing open-source toolkit for large-scale network analysis. Its aim is to provide tools for the analysis of large networks in the size range from thousands to billions of edges. It implements efficient graph algorithms, many of them parallel to utilize multicore architectures.
- algorithm engineering
- Graph algorithms
- Network Analysis
- C++
- Cython
- Python
- + 9
Materials Learning Algorithms
MALA (Materials Learning Algorithms) is a data-driven framework to accelerate electronic structure calculations based on machine learning. Its purpose is to construct neural-network surrogate models for bypassing computationally expensive steps in state-of-the-art density functional simulations.
- Density functional theory
- electronic structure
- machine-learning
- + 2
- Python
- Fortran
- Shell
- + 1
FastSurfer
FastSurfer is a fast and accurate deep-learning pipeline for the analysis of human brain MRI. FastSurfer provides a fully compatible FreeSurfer alternative for volumetric and surface-based thickness analysis, also supporting sub-mm resolutions, and sub-segmentation of neuroanatomical structures.
- Data analysis
- Deep Learning
- Image processing
- + 3
- Python
- Shell
- Jupyter Notebook
- + 1
CoMOLA
CoMOLA is a python tool for optimal spatial allocation of land uses. The tool creates optimal land-use maps for up to four objectives. It takes into account constraints and can be coupled with external models to evaluate different objectives (e.g. ecosystem services/biodiversity models)
- land-use allocation
- multi-objective optimization
- NSGA-II
- Python
- R
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
- JavaScript
- CSS
- + 1
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
- Blender
- Dataset creation
- Indoor Scene
- + 4
- Python
- TeX
CellDetection
An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.
- cell counting
- cell detection
- cell segmentation
- + 9
- Python
- Dockerfile
JURASSIC
The Juelich Rapid Spectral Simulation Code (JURASSIC) is an open source, high performance infrared radiative transfer and retrieval model for atmospheric remote sensing applications.
- Atmospheric science
- Climate
- Earth & Environment
- + 7
- C
- Python
- Shell
- + 2