Pinned Repositories
2017_Rudy-Brunton-Proctor-Kutz_PDE-FIND_STRidge
2018_Gentine-Pritchard-Rasp-Reinaudi-Yacalis_ANN
Code for neural network parameterization project
2018_Raissi-Karniadakis_SparseRegression
Hidden physics models: Machine learning of nonlinear partial differential equations
2019_Bolton-Zanna_CNN
Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS001472).
2020_Daw-Thomas-Carey-etal_LTSM_estimation
Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
2020_Jiang-Esmaeilzadeh-Azizzzadenesheli-etal_Meshfreeflownet
MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
2020_Zanna-Bolton_RVM_sparseBayesian_CNN
Relevance Vector Machines (RVMs) for Bayesian data-driven discovery of PDEs.
2021_Agarwal-Kondrashov_LTSM_ANN_LR
A systematic inter-comparison of different data-driven methods to build low-dimensional ocean models
2021_Mooers-Pritchard-Beucler-Jordan-Yacalis-Baldi-Gentine_DNN
2021_Partee-Ellis-Rigazzi_Smartsim_NN_EKE
Repository for paper -- Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling
ozanserifoglu's Repositories
ozanserifoglu/2017_Rudy-Brunton-Proctor-Kutz_PDE-FIND_STRidge
ozanserifoglu/2018_Gentine-Pritchard-Rasp-Reinaudi-Yacalis_ANN
Code for neural network parameterization project
ozanserifoglu/2018_Raissi-Karniadakis_SparseRegression
Hidden physics models: Machine learning of nonlinear partial differential equations
ozanserifoglu/2019_Bolton-Zanna_CNN
Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS001472).
ozanserifoglu/2020_Daw-Thomas-Carey-etal_LTSM_estimation
Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
ozanserifoglu/2020_Jiang-Esmaeilzadeh-Azizzzadenesheli-etal_Meshfreeflownet
MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
ozanserifoglu/2020_Zanna-Bolton_RVM_sparseBayesian_CNN
Relevance Vector Machines (RVMs) for Bayesian data-driven discovery of PDEs.
ozanserifoglu/2021_Agarwal-Kondrashov_LTSM_ANN_LR
A systematic inter-comparison of different data-driven methods to build low-dimensional ocean models
ozanserifoglu/2021_Mooers-Pritchard-Beucler-Jordan-Yacalis-Baldi-Gentine_DNN
ozanserifoglu/2021_Partee-Ellis-Rigazzi_Smartsim_NN_EKE
Repository for paper -- Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling
ozanserifoglu/2021_Wang-Walters-Yu_ResidualNetwork_DeepLearning
ozanserifoglu/2021_Yuval-Gorman-Hill_NN-RF
Code used in:"Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision"
ozanserifoglu/2021_Yuval-Gorman_NN_Online-Offline
Code and associated data with neural network parameterization of momentum
ozanserifoglu/jupyter-forward
Launch Jupyter Lab over SSH with a single command!
ozanserifoglu/nosyon