Alternatives and similar repositories for pde_deep_learning

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

• kailaix / PhysGNN
  generative neural network trained with physics knowledge
  ☆14Updated 4 years ago
• kailaix / AdFem.jl
  Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
  ☆84Updated 4 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆23Updated 4 months ago
• yingDaWang-UNSW / VelCNNs
  ☆14Updated 5 years ago
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆14Updated 2 years ago
• maziarraissi / PDE_GP
  Machine learning of linear differential equations using Gaussian processes
  ☆24Updated 7 years ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 years ago
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆19Updated last month
• ketch / PseudoSpectralPython
  A short course in pseudospectral collocation methods for wave equations, with implementations in Python.
  ☆54Updated last month
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• PredictiveIntelligenceLab / LOCA
  ☆14Updated last year
• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago
• PMEAL / pytrax
  Random walk to calculate the tortuosity tensor of images
  ☆30Updated 2 years ago
• sheadan / DeepGreen
  DeepGreen network written in Tensorflow 2
  ☆29Updated 4 years ago
• hnarayanan / porous-flow
  Adaptive multiphase flow through porous media
  ☆29Updated 9 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆69Updated last year
• payel79 / PEDS
  ☆32Updated 11 months ago
• KindXiaoming / NNPhD-github
  Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
  ☆15Updated 3 years ago
• tianjuxue / AmorFEA
  ☆13Updated 4 years ago
• elizqian / operator-inference
  ☆10Updated 2 years ago
• weymouth / DataDrivenGMG.jl
  Data-driven Geometric Multi-Grid solver for the discrete Poisson equation
  ☆40Updated 3 years ago
• djgroen / FabSim3
  Python 3 version of FabSim
  ☆26Updated last week
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆30Updated 2 years ago
• xmjiao / petsc4m-legacy
  PETSc Interface for Octave and MATLAB (Deprecated)
  ☆10Updated 2 years ago
• pavaninguva / pde-Solver-Course
  Introduction to declarative PDE solvers
  ☆41Updated 3 years ago
• KMountris / MFREE
  A matlab toolkit for meshfree approximation schemes
  ☆13Updated 4 years ago
• tum-pbs / dl-surrogates
  ☆31Updated 2 years ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆102Updated this week
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 7 years ago
• ermongroup / Neural-PDE-Solver
  ☆15Updated 5 years ago