Alternatives and similar repositories for Neuroevolution-of-PINNs

Users that are interested in Neuroevolution-of-PINNs are comparing it to the libraries listed below

• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• jtoleary / SPINODE
  Stochastic Physics-Informed Neural Ordinary Differential Equations
  ☆16Updated 2 years ago
• HiPerSimLab / PECANN
  PECANNs: Physics and Equality Constrained Artificial Neural Networks
  ☆22Updated 2 years ago
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 11 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆69Updated last year
• delta-lab-ai / pde-controller
  ☆17Updated 2 months ago
• xgxg1314 / My-awesome-PINN-papers
  ☆25Updated 2 years ago
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆70Updated 2 years ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated last month
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆49Updated 2 years ago
• paulpuren / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆31Updated 3 years ago
• rbischof / relative_balancing
  ☆62Updated 2 years ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆55Updated 5 years ago
• jpzxshi / learner
  ☆22Updated 3 weeks 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
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆37Updated last year
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• lu-group / multifidelity-deeponet
  Multifidelity DeepONet
  ☆33Updated last year
• fsahli / Delta-PINNs
  ☆32Updated 10 months 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
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆29Updated 7 months ago
• comp-physics / CPINN
  Competitive Physics Informed Networks
  ☆30Updated 8 months ago
• apivich-h / pinnacle
  🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
  ☆20Updated 10 months ago
• vmattey / bc-PINN
  A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations
  ☆31Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆91Updated 3 years ago
• eshaghi-ms / VINO
  Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations
  ☆14Updated 3 weeks ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆133Updated 3 years ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆28Updated last year