varunrajk / IncSFA

Related projects: ⓘ

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 9 years ago
• fhuszar / thesis
  my PhD thesis on Bayesian inference
  ☆28Updated 11 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆32Updated 9 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆38Updated 8 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 10 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆20Updated 8 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 8 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆23Updated 10 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆16Updated 8 years ago
• karlnapf / kameleon-mcmc
  Code for Kernel Adaptive Metropolis-Hastings
  ☆33Updated 9 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 9 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 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
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆69Updated 8 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆21Updated 4 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆36Updated 7 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆43Updated 4 years ago
• mijungi / lllvm
  ☆15Updated 8 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆58Updated 7 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆53Updated 10 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 5 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 7 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 6 years ago
• LCSL / FALKON_paper
  FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
  ☆29Updated 3 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆66Updated 5 years ago
• LCSL / NystromCoRe
  Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…
  ☆12Updated 5 years ago