GitHub topics: spatial-models
projectmesa/mesa-frames
Extension of mesa for performance and scalability
Language: Python - Size: 4.13 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 24 - Forks: 14
projectmesa/mesa
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Language: Python - Size: 13.7 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 2,893 - Forks: 984
FLAMEGPU/FLAMEGPU2
FLAME GPU 2 is a GPU accelerated agent based modelling framework for CUDA C++ and Python
Language: Cuda - Size: 6.9 MB - Last synced at: 8 days ago - Pushed at: 27 days ago - Stars: 116 - Forks: 23
je-suis-tm/graph-theory
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
Language: Jupyter Notebook - Size: 38.7 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 369 - Forks: 91
jakobdambon/varycoef
The R package varycoef implements Gaussian processes spatially varying coefficient models.
Language: R - Size: 3.34 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 11 - Forks: 2
James-Thorson-NOAA/VAST
Spatio-temporal analysis of univariate or multivariate data, e.g., standardizing data for multiple species or stages
Language: C++ - Size: 72.9 MB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 133 - Forks: 53
guillemforto/optimal-pos
🗺 Optimal point of sales in a spatial dataset
Language: R - Size: 2.48 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
gama-platform/gama.old
Main repository for developing the 1.x versions of GAMA
Language: Java - Size: 1.1 GB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 300 - Forks: 99
davidgeorgewilliams/Transformer
Explore the Transformer architecture, a Python toolkit engineered for top-tier machine learning performance in processing sequential and spatial data tasks.
Language: Python - Size: 1.89 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
marcoscravero2175/teoria_de_juegos_evolutivos_individuos_grandes_y_chicos_que_comparten_o_pelean
teoria de juegos evolutivos individuos grandes y chicos que comparten o pelean
Language: JavaScript - Size: 32.3 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1
marcoscravero2175/teoria_de_juegos_evolutivos_machos_fieles_y_atorrantes_hembras_faciles_y_esquivas
Teoria de juegos evolutivos machos fieles y atorrantes hembras faciles y esquivas
Language: JavaScript - Size: 28.9 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
kanchanchy/spatial-repartitioning-ml
A Machine Learning Aware Spatial Data Re-partitioning Framework for Spatial Datasets
Language: Python - Size: 33.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2
RamiAwar/fastabm
A modern agent-based modeling framework.
Language: Python - Size: 5.63 MB - Last synced at: 3 days ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1
nandahkrishna/GeoLifeCLEF2019
Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge
Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: 27 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1
tomar840/identification-of-the-dominant-speaker-in-short-videos
Frame wise identification of dominant speakers in short videos using spatial models
Language: Python - Size: 12.7 KB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
zipkinlab/Sussman_etal_2019_MEE Fork of asussman52/hotspot_comparison
Sussman A.L., Gardner B., Adams E.M., Salas L., Kenow K.P., Luukkonen D.R., Monfils M.J., Mueller W.P., Williams K.A., Leduc-Lapierre M., & Zipkin E.F. 2019. A comparative analysis of common methods to identify waterbird hotspots. MEE 10(9): 1454-1468.
Language: R - Size: 7.76 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1
qleclerc/efficientspatial
[OBSOLETE; USE EPICSPATIAL INSTEAD] An epidemic modelling framework for all resolutions of gridded and polygon spatial data
Language: R - Size: 5.98 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
