The Flexible Epidemic Modeling Pipeline
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Updated
Jul 2, 2024 - HTML
The Flexible Epidemic Modeling Pipeline
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Generate DAEs of k-pendulums.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Website for the Flexible Epidemic Modeling Pipeline
Bottom-up dynamical modeling of biological systems using ordinary, partial, and stochastic differential equations.
Code used to constrain dark matter substructure in the solar neighborhood with Gaia eDR3 wide binaries.
Dynamical Model of a Pistol in Simulink
`mbtransfer` is an R package for modeling microbiome dynamics. It provides functions for fitting transfer function models, simulating counterfactual trajectories, and selecting significantly perturbed taxa using mirror statistics.
COPASI biochemical network simulation program via BioSimulators-compliant command-line interface and Docker container
tellurium biochemical network simulation program via BioSimulators-compliant command-line interface and Docker container
Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
Official implementation of Enhanced Gaussian process dynamical models with knowledge transfer for long-term battery degradation forecasting.
Analytical & Programming exercises on linear control systems
Nengo library of additional extensions
PyPi package of Reward-Modulated Self Organizing Recurrent Neural Network
Dynamical System created from mapping of curvature and torsion of image of parametric planar curve when stereographically projected to the unit sphere.
Using Python with matplotlib to calculate and visualize/analyze randomly seeded orbits of 3 different functions.
Detailed paper describing python program to calculate fixed points of various functions and calculate the order of the orbits for a given seed.
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