Alternatives and similar repositories for pydens:

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

• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆329Updated last year
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆143Updated 2 weeks ago
• maziarraissi / DeepHPMs
  Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  ☆275Updated 2 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 5 years ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆143Updated 4 years ago
• Crunch-UQ4MI / neuraluq
  ☆163Updated 11 months ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆254Updated last year
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆264Updated last year
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆168Updated last year
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆170Updated 3 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆251Updated 2 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆187Updated 3 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆348Updated last month
• neuraloperator / physics_informed
  ☆398Updated 11 months ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆214Updated 3 months ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆128Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆312Updated 2 years ago
• snagcliffs / PDE-FIND
  ☆239Updated 2 years ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆424Updated this week
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆127Updated 3 years ago
• juansensio / nangs
  Solving PDEs with NNs
  ☆50Updated 2 years ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆114Updated 2 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆141Updated 5 years ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆370Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆201Updated 3 years ago
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆424Updated this week
• google / data-driven-discretization-1d
  Code for "Learning data-driven discretizations for partial differential equations"
  ☆165Updated 5 years ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆140Updated 4 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆88Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆155Updated 11 months ago