Alternatives and similar repositories for george

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

• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆186Updated this week
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆339Updated 2 years ago
• dfm / corner.py
  Make some beautiful corner plots
  ☆544Updated last week
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆681Updated this week
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆277Updated 4 months ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆189Updated 5 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 4 years ago
• jamesrobertlloyd / gp-structure-search
  ☆240Updated 8 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆216Updated 6 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆102Updated 3 years ago
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆41Updated 5 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆75Updated 2 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆239Updated last year
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆193Updated 10 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 3 months ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• joshspeagle / dynesty
  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
  ☆386Updated last week
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆329Updated 2 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆20Updated 10 years ago
• astroML / gatspy
  General tools for Astronomical Time Series in Python
  ☆87Updated last year
• pbrod / numdifftools
  Solve automatic numerical differentiation problems in one or more variables.
  ☆271Updated 2 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆81Updated 8 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago