dfm / gp

Related projects ⓘ

Alternatives and complementary repositories for gp

• jamesrobertlloyd / gp-structure-search
  ☆229Updated 7 years ago
• 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
  ☆177Updated 10 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆232Updated 3 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆451Updated this week
• ColCarroll / minimc
  Just a little MCMC
  ☆217Updated 4 months ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆247Updated 3 months ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆45Updated 3 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆165Updated 6 months ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆79Updated 4 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆221Updated 2 weeks ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆188Updated 9 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆147Updated 5 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆166Updated 3 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆187Updated last year
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆126Updated 3 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆267Updated 4 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆120Updated 3 weeks ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 5 months ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆147Updated 3 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆218Updated 9 months ago
• eth-cscs / abcpy
  ABCpy package
  ☆113Updated 5 months ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆165Updated last year
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆213Updated 5 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆238Updated 6 years ago
• TyXe-BDL / TyXe
  ☆145Updated 2 years ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆239Updated 2 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆62Updated 2 years ago
• tensorchiefs / dl_book
  legend
  ☆197Updated last year
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆270Updated 3 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆261Updated 4 years ago