All software
sfb-annotator
Annotate field books of natural history collections
- Inter-operability & linked data
- (CSS)
- (Dockerfile)
- (Java)
- + 4
ShiCo
A visualization that shows how the meaning we attach to a given concept shifts over time.
- Text analysis & natural language processing
- Visualization
- (CSS)
- (Dockerfile)
- (HTML)
- + 3
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
tortellini
GitHub action to check whether any licensing issues exist for given software.
- (JavaScript)
- (TypeScript)
Pedestrian random walk in NetLogo (ch2.1)
A collection of methods for random walk in NetLogo, including various movement restrictions, biases, and algorithm alternatives.
Place them on the map
Multiple agent placement in specific geographical location. Set up an input number of agents (turtles) at an input location (cell or patch) in an grid holding the input spatial data (map).
Epidemic Network
Experimental environment for testing of large array of theoretical conditions for development epidemic event within various quantitative, spatial and connectedness (network structure) aspects.
Preferential Attachment Network
This NetLogo algorithm simulates network formation using preferential attachment. New nodes are more likely to connect to existing nodes with higher degrees, reflecting a "lottery" system where popular nodes attract more links.
Visualising GIS Rasters and Vector Data in NetLogo
This module provides a framework for importing and visualising GIS data in NetLogo. It supports continuous raster data visualised using colour gradients, binary and categorical raster data visualised using discrete colour assignments, and point-based vector data visualised as turtle agents.
auction-tas
Truck Appointment Systems - Auction Based
- Auction
- competition
- Scheduling
- + 2
- ("Jupyter Notebook")
- (large-text-file)
- (Markdown)
- + 2
Code and data belonging to the publication "Data-enabled Predictive Repetitive Control"
Code and data belonging to the publication "Data-enabled Predictive Repetitive Control"
- Data-driven control
- Data-enabled Predictive Control
- Fundamental Lemma
- + 2
- (Markdown)
- (Matlab)
- (Other)
Code underlying the publication: "Video BagNet: short temporal receptive fields increase robustness in long-term action recognition"
Code underlying the publication: "Video BagNet: short temporal receptive fields increase robustness in long-term action recognition"
- 3D-CNN
- Action recognition
- BagNet
- + 2
- (Markdown)
- (Other)
- (Python)
- + 1