informed-machine-learning

There are 0 repository under informed-machine-learning topic.

DILiS-lab / SimbaML
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 transfer learning.
open-source prior-knowledge synthetic-data transfer-learning informed-machine-learning data-augmentation ordinary-differential-equations time-series-forecasting
Language:Python 4
DILiS-lab / opt-synthdata-4tl
This is the code repository for the paper "Optimizing ODE-derived Synthetic Data for Transfer Learning in Dynamical Biological Systems".
biological-systems informed-machine-learning ode-models time-series-forecasting transfer-learning
Language:Jupyter Notebook 1
kasia-kobalczyk / informed-meta-learning
Code to reproduce the results presented in the Informed Meta-Learning paper
informed-machine-learning meta-learning neural-processes supervised-learning
Language:Jupyter Notebook 1

DILiS-lab / SimbaML