All software
Radiative forcing of hypersonic aircraft trajectories
The software quantifies climate impact of hypersonic aircraft trajectories as a number and within seconds instead of very long numerical simulations that produce Petabytes of data. The input requires water vapor, hydrogen and nitrogen oxide emission data along flight trajectories.
- airclim
- aircraft
- atmosphere
- + 10
- Jupyter Notebook
- Python
DL4PuDe
DL4PuDe is an AI-based framework that automatically detects pushing behavior in crowd videos, leading to a better understanding of pushing dynamics. This knowledge is crucial for better crowd management strategies and better design of public places, making public places more comfortable and safer.
- Artificial Intelligence
- Crowd Management
- Deep Learning
- + 3
- Jupyter Notebook
- Python
- Cuda
- + 2
EuLerian Identification of ascending AirStreams - ELIAS 2.0
The ELIAS 2.0 software allows the identification of the footprints of rapidly ascending air streams in the atmosphere at substantially reduced computational costs compared to a conventional trajectory approach.
- Atmospheric science
- Earth & Environment
- Machine learning
- + 1
- Python
- Jupyter Notebook
Kaapana
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
- data managment
- Federated Learning
- Image processing
- + 2
- Python
- Vue
- Shell
- + 14
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
- + 4
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
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
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
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
PedPy
PedPy is a Python library for the analysis of pedestrian movement data.
- pedestrian analysis
- pedestrian dynamics
- research software
- Pascal
- Python
- Jupyter Notebook
- + 1
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
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