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
  ☆121Updated 3 weeks ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆156Updated 2 years ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆281Updated 2 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆287Updated 4 years ago
• thomaspinder / GPJax
  Gaussian processes in JAX and Flax.
  ☆566Updated 3 weeks ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆196Updated 5 months ago
• vdutor / SphericalHarmonics
  Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax
  ☆34Updated last month
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆211Updated 5 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆504Updated 5 months ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated 2 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆523Updated last week
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated last month
• mfinzi / LieConv
  ☆273Updated 2 years ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆356Updated 8 months ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated last month
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆370Updated 7 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆458Updated 6 months ago
• pyt-team / TopoNetX
  Computing on Topological Domains
  ☆252Updated this week
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆64Updated 2 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆462Updated last year
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆44Updated last year
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆224Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆685Updated last month