Alternatives and similar repositories for gp-fvm

Users that are interested in gp-fvm are comparing it to the libraries listed below

• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 5 months ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆49Updated 3 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 11 months ago
• pnkraemer / probfindiff
  Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…
  ☆11Updated 2 years ago
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆15Updated last year
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 3 years ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆90Updated this week
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated 2 years ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆45Updated 8 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years 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…
  ☆76Updated last month
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated last year
• googleinterns / invobs-data-assimilation
  ☆37Updated 4 years ago
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆17Updated last year
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• Ceyron / pdequinox
  Neural Emulator Architectures in JAX.
  ☆16Updated 8 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆126Updated last month
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆26Updated last month
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆128Updated 10 months ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 2 years ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆28Updated last year
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• mariodeflorio / AI-Lorenz
  ☆32Updated last year
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆48Updated 4 years ago
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆25Updated 11 months ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• tum-pbs / ConFIG
  [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method
  ☆69Updated last month
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆27Updated 6 months ago