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Data-driven Computational Modelling's Projects

delos icon delos

DeLOS is a toolbox for local optimization using mini batching ideas from the Deep Learning community

lnaplusplus icon lnaplusplus

LNA++: a Fast C++ Implementation of the Linear Noise Approximation with first- and second-order sensitivities

memoir icon memoir

MATLAB toolbox for Mixed Effect Model InfeRence

noodles icon noodles

NOn-convex Optimization by high-order Derivative Learning and Exploiting Schemes

nullmodels icon nullmodels

Code for Null Models used in Sinzger et al. (2019) Scientific Reports, 9, 3002

odemm icon odemm

MATLAB Toolbox for ODE constrained mixture models

pabc-smc icon pabc-smc

pABC-SMC scripts & data and model code for tumor growth example

parpe icon parpe

Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.

pesto icon pesto

PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.

pyabc icon pyabc

distributed, likelihood-free inference

pypesto icon pypesto

python Parameter EStimation TOolbox

study-dfo icon study-dfo

Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology.

tumor2d icon tumor2d

Python bindings to a C++ implementation of the source code accompanying: Jagiella, Rickert, Theis, Hasenauer "Parallelization and high-performance computing enables automated statistical inference of multiscale models" (2017)

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