There are 5 repositories under computational-modeling topic.
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
Simulation and optimization of neural circuits for MEG/EEG source estimates
Website for standards and governance of the Open Modeling Foundation
computational and brain/behavior modeling
Sensitivity analysis using simulation decomposition
comses.net wagtail site
Laptime Simulation tool, special built for Formula SAE.
The computational modeling tool for custom atomistic model of calcium-silicate-hydrates (C-S-H)
Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).
A Python-based model simulating the behaviour of the slime mould using the geometric data of Nanjing subway system.
This script explicitly includes the parameters such as fiber length, diameter, orientation, distribution, and fiber volume fraction. Straight or curved/wavy fibers with random curvatures can be generated to closely approximate fiber morphology in the matrix.
Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).
A FreeCAD-based Project Chrono Preprocessor for Various Models
This repository provides the MATLAB scripts for our quantitative systems pharmacology model published in Front. Bioeng. Biotechnol., where we conduct an in silico clinical trial in breast cancer using anti-PD-1, anti-CTLA-4 antibody and an epigenetic modulator.
nanoDNA-nanoROBOT-simulation: Open-source Python project for modeling and simulating DNA-based nanorobot behavior. 🧬🤖
Sensitivity analysis using simulation decomposition
Uncertainty Quantification for Computational Science and Engineering
3D-1D tumor growth model for simulation of angiogenesis
Computational Modeling WorkBench
A research project on the simulation and evaluation of moving target defense in the time domain.
This model applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
Code to reproduce the use examples published in SIAM 2022
Code and data for a working paper on sampling strategies in experience-based risky choice.
Foundation library of ready4 software framework for transparent, reusable and updatable health economic models.
A fast, OpenMP parallelised C++ package that calculates the radial distribution of various local order parameters for water droplets from MD trajectories.
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.