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
  ☆115Updated 2 weeks ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆190Updated 10 months ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆102Updated 2 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆145Updated 4 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.
  ☆239Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• google-research / ott
  ☆214Updated 3 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆170Updated 3 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…
  ☆309Updated 3 months ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• SymJAX / SymJAX
  Documentation:
  ☆124Updated 2 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated 2 years ago
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• google-deepmind / mc_gradients
  ☆170Updated last year
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆151Updated 2 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆594Updated 9 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆489Updated 2 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆284Updated 3 years ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆243Updated 2 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆224Updated 10 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆131Updated last year
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆200Updated 10 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆85Updated last year
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆80Updated last year
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆90Updated 7 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆541Updated last week
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆277Updated 2 years ago