Alternatives and similar repositories for jax-fenics-adjoint

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

• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆132Updated last year
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆75Updated last week
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆102Updated 4 years ago
• google-research / neural-structural-optimization
  Neural reparameterization improves structural optimization
  ☆125Updated 4 years ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆47Updated this week
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆116Updated 3 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆67Updated 9 months ago
• JAX-DIPS / JAX-DIPS
  JAX-DIPS is a differentiable interfacial PDE solver.
  ☆46Updated last year
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆65Updated 3 weeks ago
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆165Updated 3 years ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆92Updated last week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆115Updated 3 weeks ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆72Updated last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• arpastrana / jax_fdm
  Auto-differentiable and hardware-accelerated force density method
  ☆93Updated 3 weeks ago
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆30Updated 3 years ago
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆184Updated last year
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆56Updated 2 years ago
• IvanYashchuk / jax-firedrake
  Differentiable interface to Firedrake for JAX
  ☆15Updated 4 years ago
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆35Updated 2 years ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆106Updated this week
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 3 years ago
• rezaakb / pinns-jax
  PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
  ☆54Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆141Updated last month
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆27Updated last month
• LLNL / LaSDI
  ☆54Updated 2 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• Ceyron / pdequinox
  Neural Emulator Architectures in JAX.
  ☆20Updated 11 months ago