All software
Orange3 Story Navigator
Add-on providing quantitative textual story analysis based on principles in narrative psychology
- narrative psychology
- orange3
- text analysis
- Python
Orange Hackathon
Orange modules for text processing in the project What Works When for Whom
- CSS
- Jupyter Notebook
- Python
- + 2
oTree Demo Experiments
oTree demo experiment: Public goods game
- behavioral research
- oTree
- Workflow technologies
- HTML
- JavaScript
- Procfile
- + 1
Overture Song
Quickly and reliably track genome metadata scattered across multiple Cloud storage systems.
- Cancer Genomics
- Metadata Management
- Metadata Validation
- Batchfile
- Dockerfile
- Go
- + 7
PanTools-pipeline-v4
General purpose Snakemake pipeline for PanTools v4.
- Data Analysis
- genomics
- pangenomics
- Dockerfile
- Python
- Shell
paradigma
A toolbox to calculate digital biomarkers for wearable sensors in Parkinson's disease.
- Python
parareal
This package runs the parareal algorithm on a black-box simulator. Parallelisation is managed through Dask.
- High performance computing
- Numerical analysis
- CSS
- Dhall
- HTML
- + 5
ParticlePhaseSpace
A set of tools for processing and analysing particle phase space files. Designed for use with Monte Carlo simulations, particularly for proton therapy.
- Treatment Planning and dosimetry
- Batchfile
- Jupyter Notebook
- Makefile
- + 1
PattyAnalytics
Library for aligning and scaling one point cloud to an other.
- Big data
- Point Cloud
- Python
PBI
An open-source python package to identify breakthrough innovations within patents.
- Breakthrough innovations
- jupyter notebooks
- parallel computing
- + 2
- Python
PlanEO Dashboard
Provides an interactive interface for visualizing geographical data relevant to the MINE-DD project, including pathogen distribution, risk factors, and demographic analysis through both point data and raster overlays.
- Data Analysis
- Demographic Analysis
- Geographic Visualization
- + 8
- CSS
- Dockerfile
- HTML
- + 5
Platalea
Platalea contains deep neural network architectures for modeling spoken language from multiple sources at once: audio, and simultaneously images, text or video. This can be used to learn about what different context sources add to the language acquisition process.
- Python