Alternatives and similar repositories for GeometricKernels:

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

• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆504Updated last week
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆43Updated 5 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆408Updated this week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆107Updated last month
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆267Updated last year
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆117Updated 3 months ago
• danielward27 / flowjax
  ☆157Updated last month
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆232Updated last year
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 2 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆474Updated 3 weeks ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆204Updated 5 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 3 years ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆254Updated last week
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆186Updated 9 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆148Updated 6 months ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆90Updated last year
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆306Updated last month
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆448Updated 11 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated last month
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆211Updated 2 weeks ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆580Updated this week
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆433Updated 3 weeks ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆249Updated 2 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆342Updated last year
• geometric-intelligence / TopoBench
  TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
  ☆116Updated this week
• pyt-team / TopoModelX
  Topological Deep Learning
  ☆267Updated last week
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆96Updated 3 months ago