Alternatives and similar repositories for jaxgeometry

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

• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆26Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆119Updated last week
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆57Updated 6 months ago
• CUQI-DTU / CUQIpy
  ☆48Updated last week
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆39Updated 7 months ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated 10 months ago
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 3 months ago
• rfeinman / Torch-ARPACK
  Fast extremal eigensolvers for PyTorch.
  ☆17Updated 4 years ago
• cvxgrp / torch_linops
  A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
  ☆14Updated 4 months ago
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆39Updated 7 months ago
• yifanc96 / GaussianProcessPDEs
  An integrated demo: Gaussian processes for PDEs and inverse problems
  ☆14Updated 4 months ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆38Updated last year
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated 2 years ago
• Ceyron / pdequinox
  Neural Emulator Architectures in JAX.
  ☆16Updated 7 months ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆54Updated 4 years ago
• PKU-CMEGroup / InverseProblems.jl
  ☆104Updated last week
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆25Updated 10 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 2 years ago
• laplax-org / laplax
  Laplace approximations in JAX.
  ☆17Updated last week
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆54Updated 2 years ago
• SciML / NeuralOperators.jl
  DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
  ☆24Updated this week
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆110Updated 2 months ago
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆128Updated 8 months ago
• aai-institute / continuiti
  Learning function operators with neural networks.
  ☆32Updated 9 months ago
• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated 6 months ago
• opt-gaobin / spopt
  Riemannian optimization on the symplectic Stiefel manifold
  ☆13Updated 2 years ago
• f0uriest / orthax
  Orthogonal polynomials with JAX
  ☆22Updated this week