Alternatives and similar repositories for torchphysics

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

• tumaer / JAXFLUIDS
  Differentiable Fluid Dynamics Package
  ☆464Updated 3 months ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆157Updated 9 months ago
• pdearena / pdearena
  ☆273Updated last year
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆766Updated 3 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆419Updated 4 months ago
• PredictiveIntelligenceLab / jaxpi
  ☆365Updated last month
• google / jax-cfd
  Computational Fluid Dynamics in JAX
  ☆883Updated 3 weeks ago
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆408Updated last week
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆517Updated last month
• Crunch-UQ4MI / neuraluq
  ☆194Updated 6 months ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆144Updated 2 years ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆579Updated last week
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆165Updated 3 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆351Updated last year
• analysiscenter / pydens
  PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
  ☆313Updated last year
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆143Updated 3 years ago
• maziarraissi / DeepHPMs
  Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  ☆280Updated 3 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆155Updated 6 months ago
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,715Updated last week
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆463Updated 2 weeks ago
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆175Updated 2 years ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆92Updated this week
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆240Updated last year
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆209Updated 2 months ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆486Updated 4 years ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆102Updated 4 years ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆210Updated last year
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆81Updated 2 years ago
• tum-pbs / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆60Updated 4 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆225Updated 4 years ago