Alternatives and similar repositories for falkon

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

• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆110Updated 2 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆515Updated 2 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.
  ☆232Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆600Updated 2 weeks ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆474Updated last week
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆110Updated 3 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated 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…
  ☆305Updated this week
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆99Updated last year
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆128Updated 9 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆187Updated 5 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆423Updated this week
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆307Updated 3 weeks ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆241Updated last year
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆170Updated 3 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆268Updated 2 years ago
• google-research / ott
  ☆214Updated 3 years ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 5 months ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆261Updated this week
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆448Updated 9 months ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆254Updated this week
• SymJAX / SymJAX
  Documentation:
  ☆120Updated 2 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆125Updated 7 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆96Updated 4 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆218Updated last month
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆505Updated last month
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆583Updated 5 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆119Updated last week