All software
ETHOS.HiSim - Household Infrastructure and Building Simulator
ETHOS.HiSim is a Python package for simulation and analysis of household scenarios and building systems using modern components as alternative to fossil fuel based ones. This package integrates load profiles generation of electricity consumption, heating demand, electricity generation.
- ESD
- ESD - Topic 1
- Modeling
- + 2
- Python
- Jupyter Notebook
- TeX
- + 3
InteractiveVis
The InteractiveVis software framework provides a blueprint for evaluating 3D datasets with convolutional neural networks (CNNs), and for deriving and visualizing CNN relevance maps. This tool was developed and tested for disease detection in MRI scans. We plan to extend it to other domains.
- Data Visualization
- MRI
- open source
- + 1
- Jupyter Notebook
- HTML
- MATLAB
- + 5
novoSpaRc
novoSpaRc predicts locations of single cells in space by solely using single-cell RNA sequencing data. An existing reference database of marker genes is not required, but significantly enhances performance if available.
- Data analysis
- open source
- single-cell RNA-seq
- Jupyter Notebook
- HTML
- Python
PyPlaque
PyPlaque is an open-source Python package for automated analysis of virus plaque assays. It quantifies plaque morphology, size, and intensity from plate images, integrates with Python data tools, and enables reproducible, customizable workflows for high-throughput infection biology studies.
- Health
- Image processing
- Omics
- + 1
- Jupyter Notebook
- Python
RAYX
Optical Simulation Software for Synchrotron Radiation
- C++
- open source
- python
- + 2
- C++
- Python
- CSS
- + 8
stmlab
Simplify complex composite calculations. Launch and runtime environment for software projects developed by the Department of Structural Mechanics at the Institute of Lightweight Structures (DLR).
- data managment
- Jupyter
- python
- + 1
- Dockerfile
- Python
- Jupyter Notebook
UTILE-Oxy
Automated workflow using deep learning for the analysis of videos containing oxygen bubbles in PEM electrolyzers: 1. preparing annotated dataset and training models to conduct semantic seg- mentation of bubbles and 2. automating the extraction of bubble properties for further distribution analysis.
- bubbles
- Data analysis
- Data Visualization
- + 7
- Python
- Jupyter Notebook