Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

Main repository for developing the 1.x versions of GAMA

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, Ran…

Spatio-temporal analysis of univariate or multivariate data, e.g., standardizing data for multiple species or stages

FLAME GPU 2 is a GPU accelerated agent based modelling framework for CUDA C++ and Python

Extension of mesa for performance and scalability

A Machine Learning Aware Spatial Data Re-partitioning Framework for Spatial Datasets

The R package varycoef implements Gaussian processes spatially varying coefficient models.

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.

teoria de juegos evolutivos individuos grandes y chicos que comparten o pelean

Teoria de juegos evolutivos machos fieles y atorrantes hembras faciles y esquivas

A modern agent-based modeling framework.

Code for 'High rises and housing stress: A spatial big-data analysis of rental housing financialization'

Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge

🗺 Optimal point of sales in a spatial dataset

Frame wise identification of dominant speakers in short videos using spatial models

[OBSOLETE; USE EPICSPATIAL INSTEAD] An epidemic modelling framework for all resolutions of gridded and polygon spatial data

Explore the Transformer architecture, a Python toolkit engineered for top-tier machine learning performance in processing sequential and spatial data tasks.