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61-72 of 81

JupyterHub Outpostspawner

The OutpostSpawner in combination with the JupyterHub Outpost service enables JupyterHub to spawn single-user notebook servers on heterogenous remote resources.

python

Python

KD-Tree-Python

KD-Tree Implementation in Python

KD-Tree
python

Python

Lightning UQ Box

The lightning-uq-box is a PyTorch library that provides various Uncertainty Quantification (UQ) techniques for modern neural network architectures.

Deep Learning
python
uncertainty quantification

Python

mcodac

Calculation of pristine and damaged composite structures

Fortran
python

CMake
Python

micofam

MiCoFaM (Micromechanical Composite Fatigue Modeler) is a model generator for creating representative volume elements (RVEs) consisting of fibre, interface and matrix phases for a given fiber volume content with randomized fiber placements. The application is provided as an ABAQUS plug-in.

Modeling
python
Simulation

micromechanics-indentationGUI

Graphical User Interface (GUI) software for analyzing nanoindentation experimental data

Data analysis
Data Visualization
Energy
+ 5

Python

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++
MATLAB
Python
+ 4

OSADCP Toolbox

Open-source Python toolbox called OSADCP for scientists to convert, clean, calibrate and organize binary raw vessel-mounted Acoustic Doppler Current Profiler (ADCP) data for scientific use. The toolbox is designed to process ADCP measurements in deep water by Teledyne RDI Ocean Surveyor ADCPs.

Data Visualization
Earth & Environment
FAIR Data
+ 5

Python

otter

The otter Framework combines community network analysis using Co-Occurrence networks, Louvain Clustering and Convergent Cross Mapping networks. Funding through the Helmholtz DataHub Initiative; project iLOVE.

Community Dynamics
Earth & Environment
python

Python

PeakPerformance

PeakPerformance is a Python toolbox for estimating peak areas from mass-spectrometry or HPLC datasets under uncertainty. It applies Bayesian inference using the PyMC library to parametric models of peak curves.

Data analysis
Earth & Environment
mass spectrometry
+ 4

Python
TeX

python-icat

Python interface to ICAT and IDS

metadata
metadata catalogue
python
+ 1

Python
XSLT
Makefile

pyxmake

Harmonized interfaces and workflows to selected software development tools

python
Workflow Execution

Dockerfile