All software
LP2SS
A fast and deterministic python implementation to convert Lamination Parameters (LPs) into production-friendly Composite Stacking Sequences (SS) using FFTs and a Branch-and-Bound algorithm.
- Aeronautics, Space and Transport
- Branch and Bound
- Composite Design
- + 9
- Python
mcodac
Calculation of pristine and damaged composite structures
- Fortran
- python
- CMake
- Python
me-compute
me-compute: a Python software to download events and data from FDSN web services and compute their energy magnitude (Me)
- energy magnitude
- FDSN
- seismic data
- + 1
- Python
- HTML
MemBrain v2
MemBrain v2 aims to facilitate the analysis of membranes in cryo-electron tomography data. It consists of the components membrain-seg for membrane segmentation, membrain-pick for membrane protein localization, and membrain-stats for the extraction of membrane-based metrics.
- Python
mHM
The mesoscale Hydrologic Model (mHM) is a well established hydrological model used by the scientific community. It is under active development with dozens of contributors and has an open community always interested in discussions.
- Earth & Environment
- mesoscale hydrologic model
- mHM
- + 2
- AGS Script
- Fortran Free Form
- Python
- + 2
micromechanics-indentationGUI
Graphical User Interface (GUI) software for analyzing nanoindentation experimental data
- Data analysis
- Data Visualization
- Energy
- + 5
- Python
Millepede II
Millepede II has been developed to solve the linear least squares problem with a simultaneous fit of all global and local parameters, irrespectively of the number of local parameters.
- Alignment
- Large linear equation system
- Matter
- + 1
- Fortran Free Form
- C
- Python
- + 2
Minion
Minion is an optimization library designed for solving complex optimization problems where gradients are unavailable or unreliable. It implements state-of-the-art evolutionary algorithms which are often missing in standard optimization libraries.
- C++
- optimization
- python
- C++
- Python
- Jupyter Notebook
- + 4
MO|DE.behave
MO|DE.behave is a Python-based software package for the estimation and simulation of discrete choice models and shall enable rapid quantitative analyses based on survey data on choice behavior, utilizing advanced discrete choice methods. Please refer to 'doi.org/10.21105/joss.05265'.
- Python
- TeX
Monasterium - Collaborative Archive
MOM-CA is a collaborative database system which allows for the research and editing of medieval and early modern charters.
- XML
- JavaScript
- HTML
- XQuery
- + 7
motley-cue
enable SSH with federated identities
- AAI
- Helmholtz AAI
- OIDC
- + 1
- Python
- Makefile
- Shell
m-pax_lib
Multi-path Explanations Library
- Disentangled Representations
- Explanatory AI
- Medical Imaging
- + 1
- Python
- R