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

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…

Main repository for developing the 1.x versions of GAMA

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

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

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

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

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

Extension of mesa for performance and scalability

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

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.

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

Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge

A modern agent-based modeling framework.

🗺 Optimal point of sales in a spatial dataset

[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.