ICB-DCM/lookahead-study ICB-DCM/lookahead-study

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created almost 4 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ICB-DCM/lookahead-study
github

ICB-DCM

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Code for the pyABC dynamic look-ahead scheduling study

More Repositories

1

pyPESTO

python Parameter EStimation TOolbox
Python
213
star
2

pyABC

distributed, likelihood-free inference
Python
201
star
3

PESTO

PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.
MATLAB
26
star
4

parPE

Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
C++
19
star
5

fiddy

Finite difference methods.
Python
4
star
6

ODEMM

MATLAB Toolbox for ODE constrained mixture models
MATLAB
3
star
7

LNAplusplus

LNA++: a Fast C++ Implementation of the Linear Noise Approximation with first- and second-order sensitivities
C++
2
star
8

MEMOIR

MATLAB toolbox for Mixed Effect Model InfeRence
MATLAB
2
star
9

CS_Signalling_ERBB_RAS_AKT

Model and data from FroehlichKes2018
Jupyter Notebook
2
star
10

model_calibration_protocol

Jupyter Notebook
2
star
11

Study-DFO

Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology.
C
2
star
12

solverstudy

Python
1
star
13

SBMLimporter

MATLAB toolbox to generate ODE models from SBML files
MATLAB
1
star