Welcome to the SimbaML Documentation!#

Date: May 22, 2023 Version: 1.0.0rc4

SimbaML is an all-in-one framework for integrating prior knowledge of ODE models into the ML process by synthetic data augmentation. It allows for the convenient generation of realistic synthetic data by sparsifying and adding noise. Furthermore, our framework provides customizable pipelines for various ML experiments, such as identifying needs for data collection and transfer learning.

Visual Abstract of SimbaML

Useful links: Installation | Source Repository | Issue Tracker | Mailing List

Installation#

SimbaML requires Python 3.10 or newer and can be installed via pip:

pip install simba_ml

You can check if the installation was successful by importing the package and checking the version:

import simba_ml
simba_ml.__version__

For more detailed installation instructions and requirements, see Installation.

For an example usage of SimbaML, see Quickstart.

Reference#

When using SimbaML in a scientific publication, please include the following references to relevant papers.

@inproceedings{
    anonymous2023simbaml,
    title={Simba{ML}: Connecting Mechanistic Models and Machine Learning with Augmented Data},
    author={Anonymous},
    booktitle={Submitted to The First Tiny Papers Track at ICLR 2023},
    year={2023},
    url={https://openreview.net/forum?id=1wtUadpmVzu},
    note={under review}
}