There are 11 repositories under biological-simulations topic.
Brian is a free, open source simulator for spiking neural networks.
SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.
:space_invader: JS library for simple biological simulations and cellular automata
Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.
A brian2 extension to simulate spiking neural networks on GPUs
A platform for sharing and reusing biomodeling studies including models, simulations, and visualizations of their results
Openfoam library for physiological flow. Solvers and boundary conditions.
Simulating a primordial brain. A biological (spiking) neural network structuring itself through natural selection.
Scripts to create cartoons of 3D genomes
This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286
🦐🐟🦈 A framework for simulating millions of interacting Lagrangian particles (or microbes!) in a turbulent ocean.
:crystal_ball: Predict DNA assembly clone validity rates - powered by Kappa
Programming with OpenFOAM is explained with a follow-along approach.
3D Spiking neural network simulation exploring Spike Timing Dependent Plasticity (STDP)
MNEST (Multi-agent Neuro Evolution Simulation Toolkit) is a software framework designed to model and study emergent behavior in complex systems.
Interactive game to simulate emergence and natural selection in biological systems
Biological evolution simulator
Blue Brain Python Optimisation Library
Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖
:waxing_gibbous_moon: Pythonic bindings for the Kappa model simulation language
A mathematical tuning fork designed to help individuals find balance in various aspects of life. Our tool leverages key principles to optimize performance and efficiency. We also incorporate fundamental mathematical constants like Pi (π), Euler’s number €, Phi (φ), and Psi (ψ) to explore their potential in achieving optimal balance and efficiency.
A simple mechanics-based approach to simulating cells. Uses a component-based GUI approach
Official code implementation of the paper on adaptive node position in biological transport networks
An evolution simulation inspired by Biogenesis on Sourceforge.
🎮 A Simulator for Biology Invasion Studies
Computational Biology Course
This is a simulation of sunfllowers evolution given certain evniormental conditions, it is simulated via a genetic algorthim using a loss/fitness function, corssing over and other biological mechanisms.
Scripts for analysing MD simulations of nanopores and DNA translocation (ionic current, translocation rate, pore hydrophobicity).