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Logo for GMGPolar
@helmholtz.software

GMGPolar

GMGPolar is a geometric multigrid solver using implicit extrapolation to raise the convergence order. It is based on meshes in tensor- or product-format. GMGPolar's focus applications are geometries that can be described by polar or curvilinear coordinates for which suited smoothing is available.

  • Energy
  • Geometric Multigrid
  • High performance computing
  • + 5
  • C++
  • Python
  • Shell
  • + 3
6
7
Logo for JuPedSim
@helmholtz.software

JuPedSim

JuPedSim is a framework designed to support students and researchers in investigating pedestrian dynamics and conducting research related to the development and validation of new models or model features. It enables the analysis of experiments and facilitates the proper visualization of results.

  • Information
  • Modeling
  • open source
  • + 3
  • Python
  • C++
  • Jupyter Notebook
  • + 3
4
7
Logo for KaMPIng - Karlsruhe MPI next generation
@helmholtz.software

KaMPIng - Karlsruhe MPI next generation

KaMPIng is a flexible and (near) zero-overhead C++ wrapper for MPI, covering the whole range of abstraction levels from low-level MPI calls to convenient STL-style bindings. This allows for both rapid prototyping and highly engineered distributed algorithms.

  • C++
  • High performance computing
  • MPI
  • + 1
  • C++
  • CMake
  • Shell
  • + 1
8
6
Logo for LUCYD
@helmholtz.software

LUCYD

LUCYD - A Feature-Driven Richardson-Lucy Deconvolution Network

  • deblurring
  • deconvolution
  • image enhancement
  • + 1
  • Python
0
6
Logo for Minterpy
@helmholtz.software

Minterpy

Minterpy is an open-source Python package for multivariate polynomial interpolation as well as related tasks, like nonlinear polynomial regression, numerical integration, global optimization, level-set methods, and much more.

  • Interpolation
  • Modeling
  • numerical Integration
  • Python
6
6
Logo for mmpxrt
@helmholtz.software

mmpxrt

Raytracing code for x-ray spectrometers with (not only) mossaic crystals Helps with design and analysis of x-ray spectrometers. Useful tool for (rather) experienced physicist.

  • Python
  • CSS
  • HTML
  • + 2
1
6
Logo for nnDetection
@helmholtz.software

nnDetection

nnDetection: A Self-configuring Method for Medical Object Detection

  • 3d-object-detection
  • biomedical image analysis
  • Detection
  • + 3
  • Python
  • Cuda
  • Dockerfile
  • + 3
0
6
Logo for PtyLab.m/py/jl
@helmholtz.software

PtyLab.m/py/jl

A cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography

  • computational physics
  • Data analysis
  • Data Visualization
  • + 10
  • Jupyter Notebook
  • Python
14
6
Logo for BioAutoML - Democratizing Machine Learning in Life Sciences
@helmholtz.software

BioAutoML - Democratizing Machine Learning in Life Sciences

BioAutoML automatically runs an end-to-end ML pipeline that can be effectively employed by non-experts. BioAutoML does not require specialized human assistance, i.e., it only needs a training dataset of biological sequences (FASTA files) to perform an end-to-end ML experiment.

  • Artificial Intelligence
  • Big data
  • BioAutoML
  • + 3
  • Jupyter Notebook
  • Python
7
5
Logo for hypersonic-effects
@helmholtz.software

hypersonic-effects

A Python package to model radiative response to various aircraft emissions at different altitudes and latitudes. The model combines empirical emission sensitivities with linear interpolation to estimate total radiative effects.

  • aircraft
  • Earth & Environment
  • Earth System Modelling
  • + 3
  • Jupyter Notebook
  • Python
3
5
Logo for JUBE
@helmholtz.software

JUBE

JUBE is a generic, lightweight, configurable environment to run, monitor and analyse application execution in a systematic way. This software is commonly used to execute benchmarks and complex workflows on High Performance Computers, but is not limited to these systems.

  • Benchmark
  • Benchmarking
  • High performance computing
  • + 5
  • Python
  • Shell
  • C
5
5
@helmholtz.software

JumpDiff

The python package `JumpDiff` offers methods to generate and analyze stochastic processes that are described by a jump-diffusion process.

  • Data analysis
  • Energy
  • ESD
  • + 4
  • Python
1
5