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Logo for AROSICS
@helmholtz.software

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
1
291
Logo for 4C Multiphysics
@helmholtz.software

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
0
284
Logo for spec2vec
@research-software-directory.org

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
10
283
Logo for AMIRIS
@helmholtz.software

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
9
278
Logo for MIRP
@helmholtz.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
3
273
Logo for NetworKit
@helmholtz.software

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
0
265
Logo for FastSurfer
@helmholtz.software

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
10
259
Logo for Materials Learning Algorithms
@helmholtz.software

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
28
254
@helmholtz.software

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
4
249
Logo for CellDetection
@helmholtz.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
1
236
Logo for GSTools
@helmholtz.software

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
2
234
Logo for JURASSIC
@helmholtz.software

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
9
231