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#

computational-modeling

Here are 64 public repositories matching this topic...

A Python library for amortized Bayesian workflows using generative neural networks.

  • UpdatedJul 17, 2025
  • Python

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

  • UpdatedSep 28, 2022
  • Python

Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

  • UpdatedJun 17, 2021
  • R

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

  • UpdatedApr 24, 2020
  • Jupyter Notebook

Simulation and optimization of neural circuits for MEG/EEG source estimates

  • UpdatedJul 16, 2025
  • Python

Website for standards and governance of the Open Modeling Foundation

  • UpdatedMay 12, 2025
  • HTML

computational and brain/behavior modeling

  • UpdatedMay 3, 2021
  • HTML

Sensitivity analysis using simulation decomposition

  • UpdatedJul 5, 2025
  • Python
libhip

LibHip: An Open-Access Hip Joint Model Repository suitable for Finite Element Method Simulation

  • UpdatedNov 24, 2022
  • Jupyter Notebook

Code and data for Zhang, Lengersdorff et al. (2020)

  • UpdatedAug 20, 2020
  • MATLAB

A Python-based model simulating the behaviour of the slime mould using the geometric data of Nanjing subway system.

  • UpdatedNov 7, 2022
  • Jupyter Notebook

The computational modeling tool for custom atomistic model of calcium-silicate-hydrates (C-S-H)

  • UpdatedMay 14, 2023
  • C++

Laptime Simulation tool, special built for Formula SAE.

  • UpdatedOct 3, 2020
  • Python

Code and data for Zhang & Gläscher (2020)

  • UpdatedAug 27, 2020
  • Stan

Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).

  • UpdatedDec 4, 2023
  • R

Lumbar Model Generator

  • UpdatedJul 28, 2017
  • MATLAB

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.

  • UpdatedSep 8, 2021
  • MATLAB

Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).

  • UpdatedDec 8, 2023
  • R

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