A Python library for simulation-based inference with deep learning
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Updated
Sep 13, 2026 - Python
A Python library for simulation-based inference with deep learning
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
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
A Python-based model simulating the behaviour of the slime mould using the geometric data of Nanjing subway system.
LibHip: An Open-Access Hip Joint Model Repository suitable for Finite Element Method Simulation
Code and data for Zhang, Lengersdorff et al. (2020)
The computational modeling tool for custom atomistic model of calcium-silicate-hydrates (C-S-H)
cpm is a fundamental scientific modelling library for Computational Psychiatry.
Laptime Simulation tool, special built for Formula SAE.
comses.net wagtail site
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.
Code and data for Zhang & Gläscher (2020)
Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).
Lumbar Model Generator
🖍️ NetLogo Syntax Highlighting for Visual Studio Code
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