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37-48 of 200

SpecHomo

SpecHomo is a Python package for spectral homogenization of multispectral satellite data, i.e., for the transformation of the spectral information of one sensor into the spectral domain of another one.

Earth & Environment
Remote sensing
spectral homogenization

Python
Makefile
Shell

LYNX

LYNX (Lithosphere dYnamics Numerical toolboX) is a novel numerical simulator for modelling thermo-poromechanical coupled processes driving the deformation dynamics of the lithosphere.

damage rheology and porosity feedback
Earth & Environment
Explicit visco-elasto-plastic rheology
+ 1

C++
Assembly
Makefile
+ 4

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

kramersmoyal

The Python package `kramersmoyal` provides functions to analyze stochastic drift-diffusion and discontinuous stochastic processes in observational and experimental data.

Data analysis
Drift-Diffusion
Energy
+ 5

Python
TeX

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

Copy-Paste Imputation (CPI) for Energy Time Series

This project provides a Python implementation of an imputation method for energy time series. The CPI method copies data blocks with similar characteristics and pastes them into gaps of the time series while preserving the total energy of each gap.

Earth & Environment
Energy
ESD
+ 2

Python

SeisBench: A toolbox for machine learning in seismology

SeisBench is an open-source Python toolbox for machine learning in seismology. It brings together the whole machine learning model lifecycle: datasets and benchmarks, models and training pipelines, and efficient implementations for deploying the models in production.

Earth & Environment
GPU
Helmholtz AI
+ 4

Jupyter Notebook
Python

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

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

Stable-Baselines3

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

Machine learning
robotics

Python
Shell
Makefile
+ 1

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