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…
  ☆181Updated 2 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆365Updated 3 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆138Updated 3 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆215Updated last year
• PredictiveIntelligenceLab / jaxpi
  ☆277Updated last week
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆452Updated this week
• tumaer / JAXFLUIDS
  Differentiable Fluid Dynamics Package
  ☆378Updated last month
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆333Updated last year
• openhackathons-org / End-to-End-AI-for-Science
  This repository containts materials for End-to-End AI for Science
  ☆129Updated 6 months ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆272Updated last year
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆119Updated 2 years ago
• neuraloperator / physics_informed
  ☆412Updated last year
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆154Updated 4 years ago
• vc-bonn / Spline_PINN
  ☆106Updated last month
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆146Updated 2 months ago
• 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…
  ☆169Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆323Updated 2 years ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆220Updated 5 months ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆219Updated 4 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆272Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆157Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆212Updated 3 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆88Updated 2 years ago
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆317Updated 2 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆135Updated 4 years ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆156Updated 5 months ago
• camlab-ethz / AI_Science_Engineering
  This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
  ☆188Updated 3 months ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆190Updated 7 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆194Updated 3 years ago
• NVIDIA / physicsnemo
  Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…
  ☆1,297Updated this week