Alternatives and similar repositories for physics-aware-downsampling:

Users that are interested in physics-aware-downsampling are comparing it to the libraries listed below

• ToshiyukiBandai / PINNs_RRE
  Physics-informed neural networks for the Richardson-Richards equation
  ☆26Updated 4 years ago
• RBTV1 / SWE-GNN-paper-repository-
  Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
  ☆40Updated last year
• pierremtb / POD-UQNN
  Uncertainty Quantification in the POD-NN framework
  ☆21Updated 4 years ago
• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆67Updated 4 years ago
• gduthe / windfarm-gnn
  GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.
  ☆15Updated 4 months ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆66Updated last week
• Kunqian123 / DeepFloodPrediction
  ☆15Updated 5 years ago
• Inria-Chile / assessing-pinns-ocean-modelling
  Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"
  ☆10Updated 2 years ago
• dc-luo / seepagePINN
  Physics informed neural network for learning seepage flow models
  ☆17Updated last year
• acse-jm122 / torchda
  Use Deep Learning in Data Assimilation
  ☆37Updated 2 months ago
• uDALES / u-dales
  uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
  ☆64Updated 3 weeks ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• ZhenduoZhu / HydroSedFoam
  A parallelized two-dimensional hydrodynamic, sediment transport, and bed morphology model using OpenFOAM
  ☆20Updated 6 years ago
• Rui1521 / Turbulent-Flow-Nets
  Towards Physics-informed Deep Learning for Turbulent Flow Prediction
  ☆24Updated 3 years ago
• echowve / phygnnet
  Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
  ☆41Updated last year
• jeremygibbs / pyBurgers
  One-dimensional DNS and LES of Burgers turbulence written in Python
  ☆28Updated last year
• abihlo / pinnsSWE
  ☆19Updated 3 years ago
• jayroxis / Cophy-PGNN
  ☆18Updated 3 years ago
• xiaoh / DAFI
  DAFI: Ensemble based data assimilation and field inversion, repository for internal development
  ☆54Updated last year
• Romit-Maulik / CAE_LSTM_ROMS
  Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"
  ☆21Updated 4 years ago
• thiery-lab / data-assimilation
  Python code for data assimilation methods
  ☆46Updated 2 years ago
• JRice15 / physics-informed-autoencoders
  Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …
  ☆35Updated 2 years ago
• OpenDA-Association / OpenDA
  Open data assimilation toolbox
  ☆88Updated last month
• ashesh6810 / RCESN_spatio_temporal
  Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
  ☆40Updated 4 years ago
• jwallwork23 / adapt_utils
  Mesh adaptation utilities for coastal ocean modelling in Firedrake and Thetis.
  ☆11Updated 3 years ago
• drjod / yWaves
  Solver for kinematic wave and Saint-Venant equations - Staggered scheme
  ☆15Updated 8 years ago
• jjdabr / BPINN-Wildfire
  Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…
  ☆19Updated 11 months ago
• AdrianDario10 / Heat_Equation_1D
  Physics informed neural network (PINN) for the 1D Heat equation
  ☆15Updated last year