R code and Realized Volatility (RV) series set for fitting NN-based-HAR models to multinational RV series.
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Updated
Sep 8, 2018 - R
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
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
Main repository for developing the 1.x versions of GAMA
Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equations
Investigate the influence of hybrid modelling on deep learning-based MRI reconstruction performance. This was done using the fastMRI dataset.
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.
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