hybrid-modeling

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.

EasyHybrid.jl provides a simple and flexible framework for hybrid modeling, enabling the integration of neural networks with process-based models.

Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equations

Process-based permafrost modeling in the Julia programming language

R code and Realized Volatility (RV) series set for fitting NN-based-HAR models to multinational RV series.

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

A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.

The Dig4Bio worskhop series

Hybrid Aggregated Agent‐based Microsimulation of Segregation

Investigate the influence of hybrid modelling on deep learning-based MRI reconstruction performance. This was done using the fastMRI dataset.

Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.

Companion code for "Data-Driven and Physics-Informed Neural Networks for SHM of the Z24 Bridge" (JCEF 2026). Implementation of NN (V1–V3) and PINN (V1) for vibration-based damage detection.

BEM Benchmark of the Ehrenpreis-Palamodov Gaussian Process for Maxwell Cavity Scattering

Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.

Reproducible hybrid mGFD-machine-learning defect correction for two-dimensional reactive contaminant transport, with trained PyTorch models, held-out validation, and an irregular-geometry audit.

HAOCM-R: Hybrid Atmosphere-Ocean Coupled Model (Regional)

HESM-S2S: Hybrid Earth system Model for S2S Prediction