Alternatives and similar repositories for jax-fenics

Users that are interested in jax-fenics are comparing it to the libraries listed below

• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆97Updated last year
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆129Updated 10 months ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆101Updated 4 years ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆45Updated 9 months ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆103Updated last week
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆114Updated 3 years ago
• kailaix / AdFem.jl
  Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
  ☆85Updated 4 years ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆70Updated 6 months ago
• GaoyuanWu / JaxSSO
  A differentiable finite element analysis solver for structural optimization based on JAX
  ☆31Updated 3 weeks ago
• LLNL / LaSDI
  ☆54Updated 2 years ago
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆64Updated last month
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆34Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• JAX-DIPS / JAX-DIPS
  JAX-DIPS is a differentiable interfacial PDE solver.
  ☆44Updated 10 months ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆27Updated last year
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆64Updated 7 months ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• ketch / PseudoSpectralPython
  A short course in pseudospectral collocation methods for wave equations, with implementations in Python.
  ☆55Updated 3 months ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated last year
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated last year
• rezaakb / pinns-jax
  PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
  ☆54Updated 10 months ago
• fem-on-colab / fem-on-colab
  ☆55Updated this week
• ketch / nodepy
  Analysis of initial value ODE solvers
  ☆82Updated 11 months ago
• google-research / neural-structural-optimization
  Neural reparameterization improves structural optimization
  ☆123Updated 3 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆25Updated 5 months ago
• amazon-science / probconserv
  Datasets and code for results presented in the ProbConserv paper
  ☆53Updated last year
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆80Updated last year
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆54Updated 2 years ago
• cpraveen / chebpy
  Spectral Methods in Python
  ☆57Updated 2 months ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 5 years ago