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
  ☆112Updated 6 months 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.
  ☆236Updated 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…
  ☆308Updated 2 months ago
• google-research / ott
  ☆214Updated 3 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆189Updated 9 months ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆242Updated 2 years ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆276Updated last week
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆139Updated 3 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆489Updated last month
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆152Updated 2 years ago
• SymJAX / SymJAX
  Documentation:
  ☆121Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆156Updated 10 months ago
• andres-fr / skerch
  Sketched matrix decompositions for PyTorch
  ☆70Updated last month
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆534Updated last week
• probml / sts-jax
  Structural Time Series in JAX
  ☆199Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆638Updated 3 weeks ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated 11 months ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆270Updated last month
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 11 months ago