All software
Clustering Geo-data Cubes
Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.
- Big data
- geospatial
- Machine learning
- + 1
- Python
- Jupyter Notebook
- TeX
nlppln
A flexible solution to build text mining workflows that allows you to quickly combine Natural Language Processing tools from different sources.
- Text analysis & natural language processing
- Python
- Common Workflow Language
- Dockerfile
COVID-19 Piedmont
COVID-19 Surveillance Data Modelling and Management Pipeline in Piedmont.
- Computational Epidemiology
- COVID-19
- COVID-19 Data
- + 14
- Julia
PuReGoMe
Analyzes social media messages for polarity and stance towards governmental COVID-19 measures
- Machine learning
- Social media
- Jupyter Notebook
- Python
- Shell
pypfilt
A Sequential Monte Carlo (SMC, or "particle filter") Python package for online model estimation and probabilistic forecasting.
- Bayesian Inference
- Forecasting
- Sequential Monte Carlo
recipy
Effortless provenance tracking in Python
- Inter-operability & linked data
- Optimized data handling
- Python
- HTML
- Jupyter Notebook
- + 2
Virtual Human Platform
The Virtual Human Platform (VHP) was developed through the VHP4Safety project to support chemical and pharmaceutical safety testing. VHP provides you with human-relevant tools and models for precision safety evaluation, helping you reduce reliance on laboratory animals.
- toxicology
- JavaScript
- HTML
- Python
- + 4
Blade Element Momentum Theory Code for Positive and Negative Thrust Propellers
Blade Element Momentum Theory Code for Positive and Negative Thrust Propellers
- BEM
- BEMT
- Blade Element Momentum Theory
- + 2
Code and data underlying the publication: Symmetrization of 2D Polygonal Shapes Using Mixed-Integer Programming
Code and data underlying the publication: Symmetrization of 2D Polygonal Shapes Using Mixed-Integer Programming
- Design
- Digitalization
- Shape optimization
- + 1
- C
- C++
- Other
- + 3
Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
- Feed-forward neural network
- Machine learning
- MATLAB
- + 5
Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"
Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"
- Anomaly detection
- Radial Basis Function (RBF) kernel
- Time Series
- + 1
- Python
- YAML
- Markdown
- + 1
Hydrodynamic Analysis of Marine Structures-Marine Renewable Energies Lab (HAMS-MREL)
Hydrodynamic Analysis of Marine Structures-Marine Renewable Energies Lab (HAMS-MREL)
- BIEM
- HAMS
- HAMS-MREL
- + 4