hybrid-modeling

There are 1 repository under hybrid-modeling topic.

gama.old
gama-platform / gama.old
Main repository for developing the 1.x versions of GAMA
gama-platform gama simulation-framework simulation-environment simulation-toolkit modeling-language models agent-based-modeling mathematical-modelling hybrid-modeling gis spatial-models complex-systems simulation modeling modeling-agents integrated-modeling java agent-based-simulation
Language:Java 309
hilo-mpc
hilo-mpc / hilo-mpc
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
gaussian-processes hybrid-modeling kalman-filters lqr machine-learning mhe model-based-optimization model-predictive-control moving-horizon-estimation mpc neural-networks particle-filters path-following-mpc pid research-education trajectory-tracking-mpc
Language:Python 185
FMIFlux.jl
ThummeTo / FMIFlux.jl
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.
fmi fmu julia neuralode neuralfmu physicsai hybrid-modeling scientific-machine-learning
Language:Julia 62
CryoGrid / CryoGrid.jl
Next generation permafrost process modeling in the Julia programming language.
julia modeling permafrost cryosphere arctic differential-equations heat-transfer hybrid-modeling porous-media-flow
Language:Julia 19
jrcramos / Hybrid-modeling-of-bioreactor-with-LSTM
Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equations
bioreactors cell cultures deep-learning digital-twin hybrid-modeling mathematical-modelling neural-networks bioprocess metabolism
Language:MATLAB 17
yools56 / Neural-Network-based-HAR-models
R code and Realized Volatility (RV) series set for fitting NN-based-HAR models to multinational RV series.
econometrics finance har-model hybrid-modeling neural-network realized-volatility timeseries
Language:R 13
Terrarium.jl
TUM-PIK-ESM / Terrarium.jl
A next-generation differentiable and GPU-accelerated land model in the Julia programming language.
carbon-cycle energy-balance hybrid-modeling hydrology land-surface-modeling process-based-modelling soil vegetation
Language:Julia 9
huytjuh / Hybrid-Time-Series-Modeling
Hybridization of Econometric and Machine Learning time-series models for cross-learning linear and non-linear patterns.
hybrid-modeling time-series-forecasting econometrics machine-learning
Language:Python 8
natchi92 / BASBenchmarks
Benchmarks for CPS: A modular model library for buildings automation
benchmark analysis cyber-physical-systems building-automation hybrid-modeling simulation reachability probabilistic-models
Language:MATLAB 8
babak2 / HAAMoS
Hybrid Aggregated Agent‐based Microsimulation of Segregation
java agent-based-modeling agent-based-simulation urban-modelling population-dynamics residential-segregation segregation-measures multi-scaled-modeling housing-vacancy-effects neighborhood-effects hybrid-modeling agent-based-microsimulation agent-based-computational-demography geographically-referenced-social-simulation social-simulation spatial-modeling artificial-society sociospatial-segregation-model ehtnic-mosaic-pattern-simulator complex-systems
Language:Java 4
arnaou / dig4bio-workshops
The Dig4Bio worskhop series
artificial-intelligence biomanufacturing data-driven-modeling digitalization digitization hybrid-modeling machine-learning mechanistic-modeling modeling python
Language:Jupyter Notebook 3
huytjuh / Recommender-System-Basket-Analysis
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
recommender-system collaborative-filtering factorization-machine hybrid-modeling basket-analysis grocery-shopping
Language:R 2
MathijsVanhaverbeke / fastMRI-hybrid-modelling
Investigate the influence of hybrid modelling on deep learning-based MRI reconstruction performance. This was done using the fastMRI dataset.
convolutional-neural-networks deep-learning hybrid-modeling medical-imaging mri pytorch tensorflow
Language:Jupyter Notebook 2
deepbiolab / neural-bio
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
bioreactor biotechnology hybrid-modeling neural-networks physics-informed-neural-networks pinn process-optimization
Language:Python 0
deepbiolab / reinforce-bio
Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.
bioprocess-optimization bioreactor biotechnology ddpg deep-learning deep-reinforcement-learning gaussian-process hybrid-modeling neuralode process-optimization reinforcement-learning simulation
Language:Jupyter Notebook 0
raginisharma96 / rain_prediction
python3 machine-learning logistic-regression naive-bayes-classification jupyter-notebook arima-model artificial-neural-networks hybrid-modeling time-series-forecasting keras-models
Language:Jupyter Notebook 0