Alternatives and similar repositories for gp

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

• duvenaud / phd-thesis
  I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
  ☆185Updated 10 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆233Updated 4 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated last month
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆48Updated 4 years ago
• jamesrobertlloyd / gp-structure-search
  ☆233Updated 7 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆227Updated 11 months ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated 10 months ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated 10 months ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated 2 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆150Updated 6 years ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆190Updated 9 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆167Updated 2 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆214Updated 6 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated 10 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 5 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆230Updated last week
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆66Updated 2 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆102Updated 2 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated last year
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 3 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆174Updated last year
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 4 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 3 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆125Updated 7 months ago
• eth-cscs / abcpy
  ABCpy package
  ☆114Updated last year
• brain-research / nngp
  Deep neural network kernel for Gaussian process
  ☆206Updated 4 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated last year
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆275Updated 3 weeks ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆121Updated 5 years ago