All software
EEG_age_prediction
Deep learning for age prediction using EEG data
- deep learning
- EEG Signal
- Time Series
- Jupyter Notebook
- Python
- Shell
Effort Sharing
Analysis and plotting scripts for effort sharing, associated with the Carbon Budget Explorer
- Jupyter Notebook
- Python
eitprocessing
eitprocessing is an open source collaborative python library for the processing and analysis of electrical impedance tomography for clinical use.
- Electrical impedance tomography
- Image processing
- python
- Dockerfile
- Jupyter Notebook
- Python
2025-stereograph
This repository contains pre-trained models, computed results, and analysis code for evaluating machine learning approaches (Random Forests, FCNs, and GNNs) on gamma-ray event reconstruction tasks.
- Astroparticle physics
- cta
- deep learning
- + 2
- Jupyter Notebook
- Shell
agnpy
agnpy is a python package focusing on the computation of the radiative processes of relativistic particles accelerated in the jets of Active Galactic Nuclei (AGN). It includes classes describing the galaxy components responsible for line and thermal emission and calculates the absorption due to g...
- active galactic nuclei
- Astroparticle physics
- blazars
- + 5
- C
- Jupyter Notebook
- Python
cds-escape-tutorials
Jupyter Notebook tutorials using astronomical databases and Virtual Observatory tools
- virtual-observatory databases python
- Jupyter Notebook
- Just
CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.
- deep learning
- Event reconstruction
- High energy physics
- + 1
- Dockerfile
- Jupyter Notebook
- Python
Dark matter constraints from dwarf galaxies: a data-driven LAT analysis
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as ...
- ESCAPE
- jupyter-notebook
- Jupyter Notebook
- Python
ESCAPE template project
An example of software project template for the ESCAPE 2020 European project
- ESCAPE
- jupyter-notebook
- Dockerfile
- Jupyter Notebook
- Python
- + 1
gLike
gLike is a general-purpose ROOT-based code framework for the numerical maximization of joint likelihood functions. The joint likelihood function has one free parameter (named g) and as many nuisance parameters as wanted, which will be profiled in the maximization process.
- cta
- dark matter
- gamma-ray astronomy
- + 3
- C
- C++
- CMake
- + 1
HiPeRTA
HiPeRTA is a C++ library providing High Performance computing algorithms which provide full C++ programs from HiPeCTA C++ sources for the Cherenkov Telescope Array (CTA) low-level data analysis real time reconstruction. It takes advantage of the latest SIMD (Single input multiple data) operations...
- Astroparticle physics
- BLOSC
- cta
- + 7
- C
- C++
- CMake
- + 2
Jupyter-CASA
A Jupyter kernel for CASA, a popular data processing suite for radio astronomy. The software is packaged together with CASA as a Docker container.
- astronomy
- JIVE
- jupyter-notebook
- Dockerfile
- Jupyter Notebook
- Python
- + 2