Alternatives and similar repositories for L2D-learning-to-discretize

Users that are interested in L2D-learning-to-discretize are comparing it to the libraries listed below

• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• locuslab / cfd-gcn
  ☆125Updated 2 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• erichson / ShallowDecoder
  Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data
  ☆38Updated 6 years ago
• danielgreenfeld3 / Learning-to-optimize-multigrid-solvers
  ☆14Updated 6 years ago
• jcallaham / robust-flow-reconstruction
  Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…
  ☆14Updated 6 years ago
• snagcliffs / parametric-discovery
  ☆25Updated 7 years ago
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆93Updated 3 years ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆58Updated 5 years ago
• MPTCO / FiniteNet
  Code for the FiniteNet ICML Paper
  ☆18Updated 5 years ago
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆49Updated 6 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆27Updated last year
• DonsetPG / fenics-DRL
  Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
  ☆65Updated 4 years ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆70Updated 4 months ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆50Updated 3 years ago
• ehsankharazmi / hp-VPINNs
  hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
  ☆80Updated 3 years ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆27Updated 2 years ago
• cmudrc / MegaFlow2D
  The MegaFlow2D dataset package
  ☆23Updated last year
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• LeungSamWai / Finite-expression-method
  ☆21Updated 2 years ago
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆39Updated 5 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆19Updated 3 months ago
• LiuYangMage / RLFluidControl
  reinforcement learning for active fluid control
  ☆32Updated 4 years ago
• EdgeLLM / pinn-pytorch
  Deep learning library for solving differential equations on top of PyTorch.
  ☆61Updated 5 years ago
• KTH-FlowAI / DeepReinforcementLearning_RayleighBenard2D_Control
  Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
  ☆19Updated 2 years ago
• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago