Alternatives and similar repositories for RidgeSketch

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

• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆45Updated last month
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• alisaab / l0bnb
  Solves the best subset selection problem
  ☆45Updated 3 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• eepperly / Randomly-Pivoted-Cholesky
  Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"
  ☆30Updated last week
• josephsalmon / OrganizationFiles
  ☆13Updated 2 weeks ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆42Updated 4 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 5 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆39Updated 4 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 7 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated 3 weeks ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated last week
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• pyro-ppl / pyroed
  Bayesian optimization of discrete sequences
  ☆21Updated 3 years ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆22Updated last year
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆31Updated 10 months ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆55Updated 4 years ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated last month
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆117Updated last month
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• operalib / operalib
  Learning with operator-valued kernels
  ☆22Updated 2 years ago