All software
hypersonic-effects
A Python package to model radiative response to various aircraft emissions at different altitudes and latitudes. The model combines empirical emission sensitivities with linear interpolation to estimate total radiative effects.
- aircraft
- Earth & Environment
- Earth System Modelling
- + 3
- Jupyter Notebook
- Python
JumpDiff
The python package `JumpDiff` offers methods to generate and analyze stochastic processes that are described by a jump-diffusion process.
- Data analysis
- Energy
- ESD
- + 4
- Python
KaMPIng - Karlsruhe MPI next generation
KaMPIng is a flexible and (near) zero-overhead C++ wrapper for MPI, covering the whole range of abstraction levels from low-level MPI calls to convenient STL-style bindings. This allows for both rapid prototyping and highly engineered distributed algorithms.
- C++
- High performance computing
- MPI
- + 1
- C++
- CMake
- Shell
- + 1
LUCYD
LUCYD - A Feature-Driven Richardson-Lucy Deconvolution Network
- deblurring
- deconvolution
- image enhancement
- + 1
- Python
Minterpy
Minterpy is an open-source Python package for multivariate polynomial interpolation as well as related tasks, like nonlinear polynomial regression, numerical integration, global optimization, level-set methods, and much more.
- Interpolation
- Modeling
- numerical Integration
- Python
mmpxrt
Raytracing code for x-ray spectrometers with (not only) mossaic crystals Helps with design and analysis of x-ray spectrometers. Useful tool for (rather) experienced physicist.
- Python
- CSS
- HTML
- + 2
nnDetection
nnDetection: A Self-configuring Method for Medical Object Detection
- 3d-object-detection
- biomedical image analysis
- Detection
- + 3
- Python
- Cuda
- Dockerfile
- + 3
PtyLab.m/py/jl
A cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography
- computational physics
- Data analysis
- Data Visualization
- + 10
- Jupyter Notebook
- Python
Software CaRD
A metadata curation dashboard for hermes.
- metadata
- JavaScript
- HTML
- CSS
- + 1
BioAutoML - Democratizing Machine Learning in Life Sciences
BioAutoML automatically runs an end-to-end ML pipeline that can be effectively employed by non-experts. BioAutoML does not require specialized human assistance, i.e., it only needs a training dataset of biological sequences (FASTA files) to perform an end-to-end ML experiment.
- Artificial Intelligence
- Big data
- BioAutoML
- + 3
- Jupyter Notebook
- Python
JUBE
JUBE is a generic, lightweight, configurable environment to run, monitor and analyse application execution in a systematic way. This software is commonly used to execute benchmarks and complex workflows on High Performance Computers, but is not limited to these systems.
- Benchmark
- Benchmarking
- High performance computing
- + 5
- Python
- Shell
- C
MLAir
MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of meteorological and air quality time series.
- Python
- Shell
- Jupyter Notebook
- + 2