achubaty/grainscape

Efficient Modelling of Landscape Connectivity, Habitat, and Protected Area Networks

Language: TeX - Size: 108 MB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 20 - Forks: 2

studio-nine/Nine.Geometry

A lightweight library with geometry and spatial query.

Language: C# - Size: 348 KB - Last synced at: 28 days ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 3

salehahr/graph-extraction-networks

Extraction of graphs from skeletonised images.

Language: Python - Size: 23.4 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

salehahr/graph-extraction-gui

GUI for visualising graph extraction on skeletonised images.

Language: PureBasic - Size: 615 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

salehahr/graph-extraction-datagen

Generates training data for graph extraction.

Language: MATLAB - Size: 100 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2

chinmay5/semantically_consistent_graph_generation

Official code for the MICCAI 2025 paper "Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation"

Language: Python - Size: 1.06 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

CompNet/MedievalAvignon

Reconstruction of the map of Avignon during medieval times

Language: R - Size: 12.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

chinmay5/vessel_diffuse

Official code for the MICCAI 2024 paper "3D Vessel Graph Generation Using Denoising Diffusion"

Language: Python - Size: 889 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

CompNet/SpatialMeasures

Continuous average Straightness for spatial graphs

Language: R - Size: 3.42 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

alisonpeard/spatial-clustering

Python packages for spatially-corrected clustering on networks. Dissertation for Scientific Computing Special Topic Trinity 2021, MSc Mathematical Modelling and Scientific Computing, University of Oxford.

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alisonpeard/spatial-louvain

Part of Python for Scientific Computing Special Topic Trinity 2021, MSc Mathematical Modelling and Scientific Computing, University of Oxford. Experimental modification of Thomas Aynaud's package python-louvain to include spatial effects.

Language: Python - Size: 3.81 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

RaphaelGervillie/RaphaelGervillie-graph-forecast-national-elections

2017 French Presidential Elections Forecast : France, like many countries, operates by the system of universal suffrage. During each vote, the results are final when all the votes have finished being counted. But some estimation can be made on the final results during the day. This challenge proposes to explore models allowing to predict the results using only half of the votes. This type of challenge is part of all the economic issues that are seeing a revival with the arrival of machine learning methods. With the increase of available data in open access, it is possible to better model complex economic problems. This challenge therefore aims on the one hand to improve the estimate of the election results and on the other hand to propose an original model allowing to capture the multiple dimensions of this problem.

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mocnik-science/SpatialGraphLib.js

Language: JavaScript - Size: 110 KB - Last synced at: 4 months ago - Pushed at: about 10 years ago - Stars: 0 - Forks: 2