All 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
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
- C++
- Python
- Jupyter Notebook
- + 6
PtyLab.m/py/jl
A cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography
- computational physics
- Data analysis
- Data Visualization
- + 10
- Python
- Jupyter Notebook
SimCATS
Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits.
- open source
- python
- Quantum Dots
- + 1
- 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
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
supersonic-effects
A Python package to model ozone column changes and radiative effects in response to various aircraft emissions at different altitudes over specific regions. The model combines empirical emission sensitivities to estimate effects of supersonic transport on ozone and radiation.
- aircraft
- Earth & Environment
- Earth System Modelling
- + 4
- Jupyter Notebook
- Python
DeBCR
DeBCR is a sparsity-efficient deep learning framework for denoising, deblurring, and deconvolving fluorescence microscopy images. Using the m-rBCR model, it restores structural details and improves resolution. It is available as a Python package and napari plugin for efficient image restoration.
- deblurring
- deconvolution
- Deep Learning
- + 3
- Python
- Jupyter Notebook
ELECTRODE
ELECTRODE extends the atomistic simulation tool LAMMPS to model different types of electrochemical situations. Simulations are performed at constant potential or constant charge using different approaches to control potential or charge at the electrodes.
- Constant Potential Method
- Electrochemistry
- Molecular Dynamics
- C++
- Tcl
- C
- + 26
ETHOS.PeNALPS
ETHOS.PeNALPS (Petri Net Agent based Load Profile Simulator) is a Python library for the simulation of load profiles of plants of industrial manufacturing processes. Load profiles are energy demand time series.
- Energy System Analysis
- ESD
- ESD - Topic 1
- + 4
- Python
- Jupyter Notebook
- TeX
METABOLATOR
Analysis of Microcalorimetric Metabolic Data Using Monod's Equation.
- curve fitting
- Data Science
- metabolic load
- + 1
- Python
- HTML
- Jupyter Notebook