Alternatives and similar repositories for NystromCoRe:

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

• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 10 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago
• LCSL / bless
  Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA
  ☆16Updated last year
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 5 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 8 years ago
• danieljtait / ladax
  Layered distributions using FLAX/JAX
  ☆10Updated 4 years ago
• LCSL / FALKON_paper
  FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
  ☆29Updated 4 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 5 years ago
• smortezavi / Randomized_SVD_GPU
  Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.
  ☆17Updated 6 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• luigicarratino / batch-bkb
  This repository contains an implementation of the Batch-BKB algorithm as described in the ICML 2020 paper "Near-linear time Gaussian proc…
  ☆13Updated 4 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆37Updated 7 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• YingzhenLi / SteinGrad
  Code release for the ICLR paper
  ☆20Updated 6 years ago
• mahito-sugiyama / Legendre-decomposition
  Legendre decomposition for tensors
  ☆13Updated 6 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 6 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• mauriziofilippone / preconditioned_GPs
  Preconditioning Kernel Matrices
  ☆15Updated 8 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆72Updated 8 years ago
• EigenPro / EigenPro2
  EigenPro2 iteration in Tensorflow (Keras)
  ☆23Updated 6 years ago
• aniketde / DomainGeneralizationMarginal
  ☆13Updated 7 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 5 years ago