Alternatives and similar repositories for EinFields

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

• 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
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆56Updated 2 years ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 5 months ago
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 3 years ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆53Updated 3 weeks ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆131Updated last year
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆45Updated 2 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆153Updated 3 weeks ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆136Updated last week
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆75Updated last month
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated last month
• lorenzrichter / PDE-backward-solver
  ☆23Updated last year
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆48Updated 11 months ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last month
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 11 months ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆156Updated 2 years ago
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆50Updated 5 months ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆106Updated 2 years ago
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆25Updated last month
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆41Updated 3 years ago
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆12Updated last year
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 3 years ago
• astro-informatics / s2fft
  S2FFT: Differentiable and accelerated spherical transforms
  ☆211Updated this week
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆20Updated last year
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆66Updated 11 months ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 3 years ago
• j-towns / scanagram
  Tidy autoregressive inference in JAX
  ☆15Updated 3 months ago
• NIFTy-PPL / NIFTy
  Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions
  ☆39Updated 2 weeks ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆81Updated 8 months ago