Explore @ICB-DCM Open Source projects

Data-driven Computational Modelling (@ICB-DCM)

ICB-DCM

Stars
458
Global Org. Rank 25,175 (Top 8 %)
Registered over 8 years ago
Most used languages

Python
28.6 %

MATLAB
28.6 %

Jupyter Notebook
21.4 %

C++
14.3 %

C
7.1 %
Location 🇩🇪 Germany
Country Total Rank 3,642
Country Ranking

MATLAB
98

Python
537

Jupyter Notebook
1,868

C++
2,087

C
4,494

pyPESTO

python Parameter EStimation TOolbox

pyABC

distributed, likelihood-free inference

PESTO

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

parPE

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

fiddy

Finite difference methods.

ODEMM

MATLAB Toolbox for ODE constrained mixture models

lookahead-study

Code for the pyABC dynamic look-ahead scheduling study

Jupyter Notebook

LNAplusplus

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

MEMOIR

MATLAB toolbox for Mixed Effect Model InfeRence

CS_Signalling_ERBB_RAS_AKT

Model and data from FroehlichKes2018

Jupyter Notebook

model_calibration_protocol

Jupyter Notebook

Study-DFO

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

solverstudy

SBMLimporter

MATLAB toolbox to generate ODE models from SBML files