Alternatives and similar repositories for xPINNs

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

• PredictiveIntelligenceLab / MultiscalePINNs
  ☆145Updated 3 years ago
• obok13 / B-PINNs
  Pytorch implementation of Bayesian physics-informed neural networks
  ☆60Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆57Updated 2 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆70Updated last year
• PML-UCF / pinn_ode_tutorial
  ☆128Updated 2 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆50Updated 3 years ago
• ShuaiGuo16 / PI-DeepONet
  Implementing a physics-informed DeepONet from scratch
  ☆44Updated 2 years ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆150Updated last year
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆114Updated 11 months ago
• Crunch-UQ4MI / neuraluq
  ☆182Updated 3 months ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆236Updated 3 years ago
• AdityaLab / pinnsformer
  ☆138Updated 8 months ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆167Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆214Updated 3 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆145Updated last year
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆137Updated 3 years ago
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆97Updated 4 months ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆57Updated 5 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆201Updated 2 years ago
• madagra / basic-pinn
  Basic implementation of physics-informed neural networks for solving differential equations
  ☆90Updated 6 months 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
• MinglangYin / PyTorchTutorial
  Examplary code for NN, MFNN, DynNet, PINNs and CNN
  ☆49Updated 3 years ago
• TamaraGrossmann / FEM-vs-PINNs
  ☆102Updated last year
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆93Updated 3 years ago
• nguyenkhoa0209 / pinns_tutorial
  Tutorials for Physics-Informed Neural Networks
  ☆76Updated last year
• 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
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 4 years ago
• shamsbasir / investigating_mitigating_failure_modes_in_pinns
  This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…
  ☆18Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆63Updated 2 months ago