All software
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
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
pycomlink
A python toolbox for deriving rainfall information from commercial microwave link (CML) data.
- precipitation estimation
- python
- rainfall
- + 2
- 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
Allpix Squared
Allpix Squared is a semiconductor detector simulation framework. The goal of the framework is to provide a complete and easy-to-use package for end-to-end simulations of semiconductor detector performance from incident ionizing radiation until the digitization of hits in the detector chip.
- Drift-Diffusion
- Geant4
- Monte Carlo
- + 5
- C++
- CMake
- C
- + 2
Vitruvius
View-based System Development on Consistent Models
- Consistency
- Model-driven development
- Model transformations
- + 1
- Java
SpatialData framework
SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.
- Data Visualization
- FAIR Data
- Multi omics
- + 3
- Python
- Dockerfile
ESMValCore
- Data analysis
- Earth & Environment
- FAIR Software
- + 2
- Python
- Jupyter Notebook
- HTML
- + 4
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.
- DFT
- machine-learning
- Python
- Fortran
- Shell
- + 1
rGREAT
GREAT is a type of functional enrichment analysis directly performed on genomic regions. This package implements the GREAT algorithm, also it supports directly interacting with the GREAT web service (the online GREAT analysis). Both analysis can be viewed by a Shiny application.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
RiboDetector
RiboDetector is designed to rapidly and accurately detect rRNA sequences from metagenomic, metatranscriptomic, and ncRNA sequencing data. It has been optimized for use with both CPUs and GPUs. It outperforms existing software by delivering 10-50x faster runtime and ~10x fewer false classifications.
- Data analysis
- FAIR Data
- Genomics
- + 3
- Python
hybridMT
The hybridMT is MATLAB/shell environment software package for the seismic moment tensor inversion in time domain. The package allows to estimate fault plane parameters and the balance between volumetric and non-volumetric strain in the seismic source using different decomposition schemes.
- Earth & Environment
- moment tensor
- seismology