mwhoffman / pygp

Related projects: ⓘ

• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆20Updated 8 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated last year
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆69Updated 8 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 9 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆51Updated 9 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• pierrelux / notebooks
  An attempt to formalize my thoughts. A pythonic approach to mental housekeeping
  ☆15Updated 8 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆57Updated 4 years ago
• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 9 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 10 years ago
• karlnapf / kameleon-mcmc
  Code for Kernel Adaptive Metropolis-Hastings
  ☆33Updated 9 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆32Updated 9 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• dicai / bayesCPD
  changepoint detection for Bayesian models
  ☆20Updated 9 years ago
• stokasto / sgmcmc
  Stochastic Gradient MCMC algorithms implemented in theano (and autograd)
  ☆9Updated 7 years ago
• aschein / pgds
  Poisson-Gamma dynamical systems
  ☆16Updated 7 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago
• andrewcron / dpmix
  Python library for fitting massive mixture models using DP priors and GPU computation.
  ☆23Updated 8 years ago
• ICL-SML / gptf
  ☆12Updated this week
• kafluette / fastfood
  ☆15Updated this week
• mauriziofilippone / preconditioned_GPs
  Preconditioning Kernel Matrices
  ☆15Updated 8 years ago
• tbroderick / bnp_tutorial
  ☆28Updated 6 years ago
• jaberg / MonteTheano
  ☆35Updated 11 years ago