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
  ☆103Updated 3 weeks ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆305Updated 2 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX.
  ☆477Updated 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
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆98Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆100Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆114Updated last month
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆237Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
  ☆566Updated this week
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆183Updated 2 months ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆245Updated last week
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 7 months ago
• google-research / ott
  ☆213Updated 3 years ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆461Updated 2 weeks ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 3 years ago
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆122Updated 5 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆275Updated 3 years ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 2 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆431Updated 5 months ago
• danielward27 / flowjax
  ☆142Updated last week
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆85Updated 3 weeks ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆111Updated this week
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆264Updated last year
• google-deepmind / distrax
  ☆548Updated 2 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆222Updated 2 months ago
• openopt / copt
  A Python library for mathematical optimization
  ☆137Updated 4 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆303Updated this week