All software
snakemake-wrf
A snakemake workflow to run WRF, including pre- and postprocessing. See our blog post for a detailed description.
- geospatial
- High performance computing
- python
- + 1
- ("Jupyter Notebook")
- (Python)
- (Shell)
swiftmhc
SwiftMHC is a deep learning algorithm for predicting pMHC structure and binding affinity at the same time.
- deep learning
- Protein-Protein Interaction
- Transformer
- ("Jupyter Notebook")
- (Mask)
- (Python)
- + 1
TaxoTagger
DNA barcode identification, powered by semantic searching.
- Fungi
- Machine learning
- semantic search
- + 3
- (Makefile)
- (Mustache)
- (Python)
Umple
Umple allows generation of code in Java, PHP and other languages from a textual representation of UML state machines, associations and other modeling constructs, thus saving coding effort
- Code Generation
- Software Modeling
- State Machines
- + 1
- (Batchfile)
- (C++)
- (CSS)
- + 17
ValidSense
The ValidSense toolbox aims to assess the agreement between two quantitative methods using the Limits of Agreement analysis, aka the Bland-Altman analysis. Four existing variants are available. Moreover, a Longitudinal analysis is developed to assess agreement over time.
- Agreement Analysis
- Bland-Altman
- Limits of Agreement
- + 1
- (Python)
WAM2layers
WAM2layers is an atmospheric moisture-tracking model that can be used to determine where precipitation originally evaporated (backtracking), or where evaporated moisture eventually ends up (forward tracking).
- atmospheric rivers
- ERA5
- hydrological cycle
- + 4
- ("Jupyter Notebook")
- (Python)
- (Shell)
Workflomics
Web platform for workflow exploration and benchmarking in bioinformatics
- Inter-operability & linked data
- Workflow technologies
- (CSS)
- (HTML)
- (JavaScript)
- + 1
WRF-runner
Simple shell script to run a complete WPS/WRF experiment in one go
- climate
- Forecasting
- workflow
- + 1
- (Shell)
Angle-and-step random walk
An Python implementation of random walk in 2D space based on agent angle orientation and step distance. It defines an agent class `Walker` capable of random walk movement based on random angle and movement step distance in a continuous 2D space.
Random walk in data frames
Collection of methods for producing random walks in two-dimensional space outputting position coordinates in data frames, including alternatives for grid and non-grid space. In R, it uses tidyverse "tibble" to construct the data frames that store trajectories.
Resource exploitation procedure
This module takes an agent and lets it decide which resources to target and exploit. The agent moves to the patch to be harvested, takes the resources and returns home
Absorption Coefficient Estimator using Domain Adaptation
Code underlying the research project: Extracting absorption coefficients from a room impulse response using a convolutional neural network with domain adaptation
- Absorption Coefficient
- domain adaptation
- Machine learning
- + 3
- (Markdown)
- (Matlab)
- (Other)
- + 1