All software
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
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
Dockerfile to extract Gravitational Wave data from the ESCAPE datalake
This is a container to extract Gravitational Wave (GW) data from the datalake using Rucio and feed 1 second GW frames to the GW pipelines.
- EGO-Virgo
- Dockerfile
- Python
- Shell
eossr
The ESCAPE OSSR library The eOSSR is the Python library to programmatically manage the ESCAPE OSSR.In particular, it includes: - an API to access the Zenodo and the OSSR, retrieve records and publish content - functions to map and convert metadata from CodeMeta to Zenodo metadata shema - functi...
- jupyter-notebook
- zenodo
- Dockerfile
- Python
ESCAPE template project
An example of software project template for the ESCAPE 2020 European project
- ESCAPE
- jupyter-notebook
- Dockerfile
- Jupyter Notebook
- Python
- + 1
GammaLearn
GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA. It provides a framework to easily train and apply models from a configuration file. Learn more at https://purl.org/gammalearn
- cta
- deep learning
- Gamma-ray telescopes
- + 1
- Dockerfile
- Python
G-Tomo
The G-Tomo scientific data application (SDA) created by the EXPLORE project allows users to extract 1d profiles and 2d maps from the latest 3d dust extinction maps based on Gaia eDR3 and 2MASS data (Lallement et al. 2022).
- Extinction
- Gaia; Content: Astronomy
- Galactic
- + 2
- CSS
- Dockerfile
- Python
- + 1
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
SKAO Science Data Challenge 1 Solution Workflow
The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images. Here we present an environment and workflow for producing a solution to this challenge that can easil...
- astronomy
- Data
- Machine learning
- + 2
- Dockerfile
- Jupyter Notebook
- Makefile
- + 2
ZenodoCI
The library is intended to be part of a complete CI pipeline. This stage deploys to Zenodo the files found in the ./build directory, configured in the .gitlab-ci.yml file
- ESCAPE
- Dockerfile
- Python
- Shell
ewatercycle-wflowjl
Wflow.jl plugin for eWatercycle.
- Dockerfile
- Python
Folklore Clinical Variant Interpretation MCP
Folklore MCP 1.5.0: read-only GRCh38 germline variant evidence, ClinGen gene-disease associations and biomedical literature.
- ACMG/AMP
- bioinformatics
- clinical variant interpretation
- + 4
- Dockerfile
- Jupyter Notebook
- Python
- + 1