All software
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
EnrichedHeatmap
Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. The EnrichedHeatmap package provides advanced solutions for normalizing genomic signals within target regions as well as offering highly customizable visualizations.
- Data analysis
- Data Visualization
- FAIR Data
- + 2
- R
- CSS
- C++
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
- Jupyter Notebook
- Shell
- + 1
CryoGrid
The CryoGrid Model Suite provides a set of numerical tools for simulating the thermal soil regime and the ice-water balance for permafrost and glaciers. Depending on the application needs different model tools are offered, characterized by different levels complexity and modularity.
- Climate
- Earth & Environment
- Modeling
- + 1
- MATLAB
- HTML
- Mercury
- + 2
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
snvec
snvec: Pre-computed Precession-Tilt solutions and C code.
- astronomical solution
- Astrophysics
- obliquity
- + 3
- (C)
svnecR
Easily calculate precession and obliquity from an astronomical solution and assumed or reconstructed values for dynamical ellipticity (Ed) and tidal dissipation (Td). This is a translation and adaptation of the C-code in Zeebe and Lourens (2022), with further details in Zeebe (2022).
- astronomical solution
- cyclostratigraphy
- dynamical ellipticity
- + 12
- (R)
- (Rez)
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
BridgeDb Java
Java library for identifier mapping
- Data
- persistent identifiers
- (Batchfile)
- (CSS)
- (HTML)
- + 5
ARX - Open Source Data Anonymization Software
ARX is an open-source tool for anonymizing sensitive personal data. It offers many privacy/risk models, transformation methods, and utility analyses. Used in research, clinical trials, training, and big-data platforms. Scales to large datasets and includes an intuitive cross-platform GUI.
- anonymization
- de-identification
- privacy
- Java
- HTML
- Shell
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
- Shell
- Visual Basic 6.0
- + 1
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