Alternatives and similar repositories for GeometricKernels

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

• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆111Updated 4 months ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆268Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆91Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆190Updated last week
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆233Updated last year
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 5 months ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated 2 years ago
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆43Updated last year
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆522Updated last month
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated 8 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆620Updated this week
• mfinzi / LieConv
  ☆272Updated 2 years ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆479Updated last month
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆443Updated last week
• vdutor / SphericalHarmonics
  Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax
  ☆33Updated last year
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated 2 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆256Updated 2 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• 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
• pyt-team / TopoNetX
  Computing on Topological Domains
  ☆229Updated last week
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆452Updated 3 weeks ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆205Updated 7 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 9 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆129Updated this week
• giotto-ai / giotto-deep
  Deep learning made topological.
  ☆83Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 4 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago