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49-60 of 233

Heat

Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.

CPU
Data analysis
GPU
+ 4

Python
Jupyter Notebook
Shell
+ 1

LiberTEM

LiberTEM is an open source platform for high-throughput distributed processing of large-scale binary data sets and live data streams using a stream-based programming model. The current focus is pixelated scanning transmission electron microscopy (4DSTEM) and scanning electron beam diffraction data.

4D STEM
electron microscopy
high-throughput
+ 3

Python
TypeScript
JavaScript
+ 6

MSS - Mission Support System

For discussion of the possibilites of research flights, the Mission Support System (MSS) was developed. This software helps to review a big amount of metereological and model data by viewing the forecasted parameters of interest along possible regions of a proposed flight path.

Data Visualization
Earth & Environment
Flight Planning
+ 2

Python
HTML
Shell
+ 2

TetraX

TetraX is a package for finite-element-method (FEM) micromagnetic modeling with the aim of providing user-friendly and versatile micromagnetic workflows. Among other features, it allows to efficiently calculate spin-wave spectra in different magnetic systems of general geometries.

finite-element-method
magnetization dynamics
micromagnetic modeling
+ 4

Python
C
Cython

Stable-Baselines3

Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch.

Machine learning
robotics

Python
Shell
Makefile
+ 1

Julearn

Julearn aims to provide an easy-to-use but flexible interface to build predictive models with cross-validation (CV) consistent performance estimates. It poses as a solution accessible to domain experts without extensive ML training, enabling them to quickly fit and evaluate ML algorithms.

Machine learning
Neuroimaging
python

Python

LaPy

LaPy is an open-source Python package for differential geometry on triangle and tetrahedra meshes. It includes an FEM solver to estimate the Laplace, Poisson or Heat equations, also the computations of gradients, divergence, mean-curvature flow, conformal mappings, geodesics, ShapeDNA and more.

computational geometry
FEM
Laplace
+ 4

Python

AiiDA-KKR

This AiiDA plugin provides high-throughput automation and FAIR data management for the Jülich KKR codes.

Data Visualization
FAIR Data
Information
+ 4

Python
Shell
OpenEdge ABL

calibr8

calibr8 is a Python toolbox for likelihood-based calibration modeling and Bayesian inference. It supports uni- and multivariate problems, continuous & discrete distributions and includes ready to use models for many non-linear problems. It integrates with PyMC for advanced Bayesian inference.

Calibration
Data analysis
Earth & Environment
+ 4

Jupyter Notebook
Python

Elephant

Elephant (Electrophysiology Analysis Toolkit) is an open-source, community centered library for the analysis of electrophysiological data in the Python programming language.

data-analysis
electrophysiology
neurophysiology
+ 2

Python
C++
Cuda
+ 1

venco.py

A tool to derive battery electric vehicle energy demands from given trip data. venco.py provides normalized, aggregated electric vehicle fleet demand profiles for two cases: Uncontrolled charging and a technical (mobility-constrained) potential for controlled charging including vehicle-to-grid.

electricity
electric vehicles
Flexibility
+ 2

Python

deploy2zenodo

deploy2zenodo is a script to deploy your data to zenodo. You can use it in a CI pipeline as an automatic workflow. Environmental variables allow very flexible use. Depending on the flags, the data can be curated before deployment in a merge request, in the zenodo web interface or not curated at all.

automatic workflow
CI pipeline
deploy
+ 7

Shell
Python