Alternatives and similar repositories for DeepRitzMethod:

Users that are interested in DeepRitzMethod are comparing it to the libraries listed below

• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆55Updated 4 years ago
• xdfeng7370 / Deep-Ritz-Method
  Reproduce the first two numerical experiments(Pytorch)
  ☆26Updated 4 years ago
• ehsankharazmi / hp-VPINNs
  hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
  ☆79Updated 2 years ago
• liaoyulei / DeepNitscheMethod
  Code for "Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions"
  ☆16Updated 2 years ago
• MJfadeaway / DAS
  DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
  ☆38Updated 5 months ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆135Updated 2 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆132Updated 3 years ago
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆74Updated 2 years ago
• wukekever / DGM-and-DRM
  PINN, DGM and DRM
  ☆20Updated last year
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆89Updated 3 years ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆88Updated last year
• EdgeLLM / pinn-pytorch
  Deep learning library for solving differential equations on top of PyTorch.
  ☆61Updated 4 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆187Updated 2 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆62Updated 5 years ago
• MinglangYin / PyTorchTutorial
  Examplary code for NN, MFNN, DynNet, PINNs and CNN
  ☆49Updated 3 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆34Updated 2 years ago
• rodsveiga / PINNs
  Physics Informed Neural Networks
  ☆20Updated 4 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆204Updated 3 years ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆78Updated last year
• Sysuzqs / PDENNEval
  ☆49Updated 4 months ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆51Updated 5 months ago
• AmeyaJagtap / Conservative_PINNs
  We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …
  ☆70Updated 2 years ago
• Jianxun-Wang / phygeonet
  PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
  ☆84Updated 4 years ago
• AmeyaJagtap / Locally-Adaptive-Activation-Functions-Neural-Networks-
  Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…
  ☆40Updated 2 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆48Updated 3 years ago
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆51Updated 3 years ago
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆97Updated 4 years ago
• erfanhamdi / pinn-torch
  Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
  ☆48Updated 2 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆141Updated 4 years ago