All software
Machine learning-based classification model corresponding to the paper 'Machine learning to improve orientation estimation in sports situations challenging for inertial sensor use'
Machine learning-based classification model corresponding to the paper 'Machine learning to improve orientation estimation in sports situations challenging for inertial sensor use'
- Inertial Measurement Unit
- kinematics
- Machine learning
- + 3
finite-strain-inverse-designed-spinodoids
Data and Code underlying publication: Experiment-informed finite-strain inverse design of spinodal metamaterials
- In situ characterization
- Inverse design
- Machine learning
- + 2
- Other
- Python
- Matlab
FastMLC
Detect clusters in for example large collections of DNA or protein sequences, and visualize the results in a web browser.
- Big data
- Machine learning
- Visualization
- C++
- C
- Makefile
- + 5
MapReader
MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.
- computer vision
- digital humanities
- geospatial
- + 4
- Python
- TeX
- Dockerfile
- + 1
Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model
Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model
- chloride
- Delta
- estuary
- + 7
gammalearn
Deep Learning for Imaging Cherenkov Telescopes Data Analysis
- cta
- deep learning
- Gamma-ray telescopes
- + 1
- Python
- Dockerfile
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
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
SWMM_GNN_Repository_Paper_version
SWMM GNN metamodel – Code for paper: Transferable and Data Efficient Metamodeling of Storm Water System Nodal Depths Using Auto-Regressive Graph Neural Networks
- GNN
- Graph neural networks
- Machine learning
- + 5
- Other
- Python
- Jupyter Notebook
- + 2
PuReGoMe
Analyzes social media messages for polarity and stance towards governmental COVID-19 measures
- Machine learning
- Social media
- Jupyter Notebook
- Python
- Shell
SBSL
Data and code underlying the publication: Overcoming Selection Bias in Synthetic Lethality Prediction
- anti-cancer therapeutics
- computational prediction
- gene dependency
- + 3
eEecology Classification
Automatic classification of accelerometer data using a supervised learning approach.
- Machine learning
- Java
- JavaScript
- HTML
- + 3