There are 1 repository under hybrid-modeling topic.
Main repository for developing the 1.x versions of GAMA
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.
Next generation permafrost process modeling in the Julia programming language.
Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equations
R code and Realized Volatility (RV) series set for fitting NN-based-HAR models to multinational RV series.
A next-generation differentiable and GPU-accelerated land model in the Julia programming language.
Hybridization of Econometric and Machine Learning time-series models for cross-learning linear and non-linear patterns.
Benchmarks for CPS: A modular model library for buildings automation
Hybrid Aggregated Agent‐based Microsimulation of Segregation
The Dig4Bio worskhop series
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
Investigate the influence of hybrid modelling on deep learning-based MRI reconstruction performance. This was done using the fastMRI dataset.
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.