All software
Parcels
Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as plastic and fish.
- lagrangian-ocean-modelling
- ocean-circulation-models
- particles
- (Python)
DeepRank
Deep learning framework for data mining protein-protein interactions using CNN
- Big data
- Machine learning
- Optimized data handling
- (C)
- (Makefile)
- (Python)
- + 2
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
- Blender
- Dataset creation
- Indoor Scene
- + 4
- Python
- TeX
Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds
Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds
- Building
- Point Cloud
- Surface-reconstruction
- + 1
- (Automake)
- (C)
- (C++)
- + 8
BornAgain
Software to simulate and fit neutron and x-ray reflectometry and grazing-incidence small-angle scattering. The latter is computed as usual, using the distorted-wave Born approximation, hence the name. Users can set up arbitrary multilayer samples with interface roughness and embedded nanoparticles.
- Data analysis
- Modelling
- Photon and neutron science
- + 1
- C++
- Python
- CMake
- + 2
BrainPrint
Our BrainPrint tools provide shape descriptors of neuroanatomical structures and require a FreeSurfer or FastSurfer segmentation as a pre-processing step. BrainPrint is based on “ShapeDNA” a spectral shape descriptor.
- Data analysis
- MRI
- open source
- + 1
- Python
Multiphase Code Repository by HZDR for OpenFOAM Foundation Software
This software publication is released by Helmholtz-Zentrum Dresden-Rossendorf according to FAIR principles. It contains experimental research work for the numerical simulation of multiphase flows. The development is based on the open-source software released by the OpenFOAM Foundation.
- Computational Fluid Dynamics
- Energy
- Euler-Euler method
- + 5
GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- ("Jupyter Notebook")
- (PureBasic)
- (Python)
- + 1
Kadi4Mat
Kadi4Mat is a generic and open source virtual research environment.
- Aeronautics, Space and Transport
- Earth & Environment
- Electronic Lab Notebook
- + 9
- Python
- Vue
- HTML
- + 2
MAGMa
MAGMa is an online application for the automatic chemical annotation of mass spectrometry data.
- Big data
- Visualization
- (CSS)
- (Cython)
- (Dockerfile)
- + 5
TraP: The LOFAR Transients Pipeline
The LOFAR Transients Pipeline (or "TraP") is a Python and SQL based system for detecting and responding to transient and variable sources in a stream of astronomical images.
- Image processing
- radio astronomy
- Source association
- + 3
- (Mako)
- (PLpgSQL)
- (Python)
- + 1
Scalasca
The Scalasca Trace Tools support performance optimization of parallel programs with a collection of highly scalable trace-based tools for in-depth analyses of concurrent behavior, in particular with respect to communication and synchronization, and offers guidance in exploring their causes.
- hpc
- Information
- Performance Analysis
- + 3