Natural Sciences & Engineering
QMflows
Construction and efficient execution of computational chemistry workflows.
- Multi-scale & multi model simulations
- Workflow technologies
- Python
- Jupyter Notebook
- Shell
qubols
qubols allows to solve linear system using a QUBO approach that can be deployed on quantum annealers
- Numerical analysis
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
Rocket
Rocket is a framework for efficient execution of all-pair applications on heterogeneous platforms.
- Big data
- GPU
- High performance computing
- + 1
- Java
- Cuda
- C++
- + 2
Rucio deployment for KM3NeT
This repository contains the Rucio deployment for KM3NeT. It can be used as an example of how to deploy Rucio.
- Big data
- High performance computing
Rucio policy package for KM3NeT
Package with custom policies for the Rucio instance of KM3NeT.
- Big data
- Data management
SAGECal
Fast, memory efficient and GPU accelerated radio interferometric calibration program
- Big data
- GPU
- High performance computing
- C
- C++
- Cuda
- + 5
SMP decision tree
SMP decision tree is a questionnaire for creating a Software Management Plan (SMP).
- metadata
- Project management
- software sustainability
- Shell
- Python
speckcn2
SpeckleCn2Profiler revolutionizes satellite communication, combining SCIDAR and AI. By accurately estimating turbulence strength and refining signals, it ensures reliable performance in any environment. Dive into our repository and join the quest to transform optical links.
- Scientific machine learning
- Python
- TeX
- Nix
SPOT
SPOT is an interactive visualization tool for multi-dimensional data. It allows quick analysis of complex datasets and easy identification of correlations between variables.
- Big data
- Visualization
- JavaScript
- Pug
- Stylus
- + 2
Swan
Swan is a Python package to create statistical models to predict molecular properties
- Machine learning
- Python
- Jupyter Notebook
swyft
swyft is the official implementation of Truncated Marginal Neural Ratio Estimation, a hyper-efficient, simulation-based inference technique for complex data and expensive simulators.
- Bayesian Inference
- Data Analysis
- Jupyter Notebook
- Python
TraP: The LOFAR Transients Pipeline
The LOFAR Transients Pipeline (or "TraP") is a Python and SQL based system for detecting and responding to transient and variable sources in a stream of astronomical images.
- Image processing
- radio astronomy
- Source association
- + 3
- Python
- PLpgSQL
- Mako
- + 1