Alternatives and similar repositories for physicsnemo-sym

Users that are interested in physicsnemo-sym are comparing it to the libraries listed below

• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆197Updated 2 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆263Updated 3 weeks ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆425Updated last month
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆126Updated 2 years ago
• neuraloperator / physics_informed
  ☆460Updated 2 months ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆232Updated 3 years ago
• ikespand / awesome-machine-learning-fluid-mechanics
  Curated list for ML in FM
  ☆205Updated last month
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆203Updated 6 months ago
• tumaer / JAXFLUIDS
  Differentiable Fluid Dynamics Package
  ☆421Updated last month
• ComputationalDomain / PINNs
  ☆189Updated 2 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆281Updated last year
• alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
  Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…
  ☆178Updated 2 years ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆515Updated last week
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆175Updated 4 years ago
• openhackathons-org / End-to-End-AI-for-Science
  This repository containts materials for End-to-End AI for Science
  ☆171Updated 3 weeks ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆151Updated 5 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆144Updated 2 months ago
• gegewen / ufno
  U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow
  ☆135Updated 9 months ago
• PredictiveIntelligenceLab / jaxpi
  ☆313Updated 2 months ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆104Updated 2 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆177Updated last month
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆353Updated 2 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆339Updated last year
• quercushernandez / ThermodynamicsGNN
  Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
  ☆100Updated 10 months ago
• WillDreamer / Awesome-AI4CFD
  Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
  ☆191Updated 3 weeks ago
• mdribeiro / DeepCFD
  DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
  ☆265Updated last year
• lettucecfd / lettuce
  Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
  ☆244Updated last week
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆370Updated 2 weeks ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆148Updated 4 years ago