All software
Constellation
Control and data acquisition system for small-scale experiments and experimental setup with volatile and dynamic constituents such as test beam environments or laboratory test stands
- DAQ
- DCS - Distributed Control System
- Matter
- + 2
- C++
- Python
- Meson
- + 2
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
ehrapy
ehrapy is a modular open-source Python framework designed for exploratory end-to-end analysis of heterogeneous epidemiology and electronic health record data.
- Data analysis
- open source
- python
- Python
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
EpsteinLib
High-performance computation of the Epstein zeta function, including a Python, Julia and Mathematica wrapper.
- Condensed Matter Physics
- Epstein zeta function
- Lattice Sums
- + 2
- C
- Wolfram Language
- Python
- + 5
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
FlowStrider
FlowStrider automates data flow-based threat modeling
- threat modeling
- Python
- Dockerfile
Independent Parallel Particle Layer (IPPL)
IPPL is a C++ library to develop performance portable code for fully Eulerian, Lagrangian or hybrid Eulerian-Lagrangian methods. IPPL supports simulations in one to six dimensions, mixed precision, and asynchronous execution in different execution spaces (e.g. CPUs and GPUs).
- Computational Fluid Dynamics
- GPU
- High performance computing
- + 5
- C++
- CMake
- Python
- + 3
METABOLATOR
Analysis of Microcalorimetric Metabolic Data Using Monod's Equation.
- curve fitting
- Data Science
- metabolic load
- + 1
- Python
- HTML
- Jupyter Notebook
PowerMarketSim
PowerMarketSim is a fundamental model of the European day-ahead market. It links decentralized bidding and market clearing via Lagrangian relaxation and represents cross-zonal constraints through congestion rents, producing realistic price signals and unit schedules.
- Energy
- ESD
- ESD - Topic 2
- + 2
- Python
pyMarAI
Neural network model and PyQt5-based user interface for image segmentation of microscopic tumor spheroids. Usable with nnU-Net deep-learning framework. Trained on microscopic images of mouse pheochromocytoma (MPC) cells. Provides pipelines for handling data, running delineation, curating results...
- Artifical Intelligence
- cancer
- Convolutional Neural Networks
- + 6
- 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