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Logo for MLAir

MLAir

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of meteorological and air quality time series.

  • Python
  • Shell
  • Jupyter Notebook
  • + 2
3
5

AiiDA-Spirit

AiiDA plugin for FAIR high-throughput spin-dynamics simulations with the Spirit code (http://spirit-code.github.io/).

  • data managment
  • Data Visualization
  • FAIR Data
  • + 5
  • JavaScript
  • Python
  • HTML
  • + 1
5
4
Logo for GMGPolar

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
4
Logo for JUBE

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
4
Logo for KaMPIng - Karlsruhe MPI next generation

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
4
Logo for PedPy

PedPy

PedPy is a Python library for the analysis of pedestrian movement data.

  • pedestrian analysis
  • pedestrian dynamics
  • research software
  • Pascal
  • Python
  • Jupyter Notebook
  • + 1
3
4
Logo for Reflectorch

Reflectorch

Reflectorch is a Python package for the analysis of X-ray and neutron reflectivity data using Pytorch-based neural networks. It provides fast simulation of reflectometry curves by GPU, parameterization via YAML configuration files, and prior-aware training.

  • Machine learning
  • neutron
  • open source
  • + 3
  • Python
  • TeX
  • Dockerfile
4
4

stream2segment

A Python library and command line application to download, process and visualize event-based seismic waveform segments, specifically designed to manage big volumes of data

  • Big data
  • data managment
  • Data Visualization
  • + 5
  • Python
  • Jupyter Notebook
  • HTML
  • + 1
1
4
Logo for TomoBEAR

TomoBEAR

TomoBEAR is an open-source configurable and customizable modular pipeline for streamlined and parallelized processing of large-scale cryo-electron tomography data for subtomogram averaging.

  • Alignment
  • automated reasoning
  • cluster
  • + 16
  • MATLAB
  • M
  • Python
  • + 1
4
4
Logo for atoMEC

atoMEC

atoMEC is a python-based average-atom code for simulations of high energy density phenomena such as in warm dense matter. It is designed as an open-source and modular python package.

  • Matter
  • Python
  • Shell
4
3
Logo for GasNetSim

GasNetSim

GasNetSim is a simulation package designed for gas network steady-state simulation. It supports the steady-state natural gas network simulations with different gas mixture compositions, thus enabling accurate analysis of the impacts of hydrogen injection on the gas network.

  • Energy
  • ESD
  • ESD - Topic 2
  • + 1
  • Jupyter Notebook
  • Python
3
3

HIPSTA

The HIPpocampal Shape and Thickness Analysis Toolbox (HIPSTA) present a geometry-based method for the analysis of local hippocampal thickness and curvature and constructs an intrinsic coordinate system (unrolling/flattening) for statistical analysis across multiple participants.

  • MRI
  • Neuroimaging
  • open source
  • + 1
  • Python
  • Dockerfile
1
3