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

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

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

Sensitivity analysis using simulation decomposition

Laptime Simulation tool, special built for Formula SAE.

comses.net wagtail site

nanoDNA-nanoROBOT-simulation: Open-source Python project for modeling and simulating DNA-based nanorobot behavior. 🧬🤖

cpm is a fundamental scientific modelling library for Computational Psychiatry.

AgentFarm is a digital research platform for simulations of complex systems

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.

SkinOptics is an open source Python package with tools for building human skin computational models for Monte Carlo simulations of light transport, as well as tools for analyzing simulation outputs. It can also be used for teaching and exploring about Optical Properties and Colorimetry.

Catalyst Library for Material Discovery Studies, including Transition Metal and Transition Metal Derivatives. Materials are compiled from online open-source databases, as well as own calculations. A GUI is included for convenient input file generation. Please expect this to be updated regularly.

Master thesis: analyzing and fitting a computational model of cognitive control to study the role of theta oscillations.

ArtiFace: A dataset for deepfake detection

This repository hosts a Python-based Infection Model Simulator capable of simulating and visualizing the dynamics of various infection models: SIR, SIRD, and SIER. The models allow tracking the spread and impact of infections considering different parameters.

A simulation demonstrating that recursive intelligence vastly outperforms scalar IQ under collapse and drift. Based on the paper “Recursion vs. IQ: Toward a Multi-Scale Model of Intelligence v2.0

A recursive, entropy-driven computational language for modeling emergent intelligence, consciousness, and complex adaptive systems. Features automatic bifractal tracing, field-aware memory, and entropy-gated execution for infodynamics research.