All software
simplifyEnrichment
A new clustering algorithm, "binary cut", for clustering similarity matrices of functional terms is implemeted in this package. It also provides functions for visualizing, summarizing and comparing the clusterings.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- CSS
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
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
- Makefile
- Shell
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++
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
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
- C
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
spec2vec
spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.
- Machine learning
- Text analysis & natural language processing
- (Batchfile)
- (Makefile)
- (Python)
BridgeDb Java
Java library for identifier mapping
- Data
- persistent identifiers
- (Batchfile)
- (CSS)
- (HTML)
- + 5
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)