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
  ☆53Updated 3 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆124Updated 5 months ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆99Updated 3 years ago
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆55Updated 3 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆59Updated last month
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆24Updated 3 months ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆70Updated last year
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆70Updated 9 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆61Updated 3 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆75Updated last year
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆32Updated last year
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆93Updated last week
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆36Updated last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆44Updated 3 years ago
• kailaix / AdFem.jl
  Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
  ☆83Updated 3 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆32Updated 3 years ago
• IvanYashchuk / jax-firedrake
  Differentiable interface to Firedrake for JAX
  ☆14Updated 4 years ago
• JAX-DIPS / JAX-DIPS
  JAX-DIPS is a differentiable interfacial PDE solver.
  ☆41Updated 5 months ago
• 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
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆62Updated 2 months ago
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆152Updated 2 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆63Updated last year
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆25Updated 10 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 years ago
• arpastrana / jax_fdm
  Auto-differentiable and hardware-accelerated force density method
  ☆88Updated 2 weeks ago
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆29Updated 2 years ago
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆51Updated 9 months ago
• tum-pbs / unrolling
  ☆16Updated 2 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• rezaakb / pinns-jax
  PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
  ☆38Updated 5 months ago