All software
DoE2Vec
DoE2Vec is a self-supervised approach to learn exploratory landscape analysis features from design of experiments. The model can be used for downstream meta-learning tasks such as learninig which optimizer works best on a given optimization landscape.
- Machine learning
- optimization
- python
- (Makefile)
- (Python)
- (R)
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
Dive
Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.
- Big data
- Machine learning
- Visualization
- (CSS)
- (HTML)
- (JavaScript)
- + 1
MapReader
MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.
- computer vision
- digital humanities
- geospatial
- + 4
- (Dockerfile)
- (Python)
- (Shell)
- + 1
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
- ("Jupyter Notebook")
- (Markdown)
- (Other)
- + 2
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++)
- (CMake)
- + 5
gammalearn
Deep Learning for Imaging Cherenkov Telescopes Data Analysis
- cta
- deep learning
- Gamma-ray telescopes
- + 1
- (Dockerfile)
- (Python)
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
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
- ("Jupyter Notebook")
- (Python)
- (TeX)
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
fedKMeans
Code supporting chapter 4 of the PhD thesis: Federated K-Means Clustering.
- Big data
- Clustering
- federated learning
- + 3