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

Benchmarks for CPS: A modular model library for buildings automation

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

Hybridization of Econometric and Machine Learning time-series models for cross-learning linear and non-linear patterns.

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.

Main repository for developing the 1.x versions of GAMA

The Dig4Bio worskhop series

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.

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

Next generation permafrost process modeling in the Julia programming language.

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.

A framework for building next-generation differentiable and GPU-accelerated land and ecosystem models in Julia.

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

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems