Alternatives and similar repositories for GPy

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

• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,901Updated 8 months ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆949Updated 3 years ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,821Updated this week
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆643Updated last month
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,452Updated this week
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,911Updated last year
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,563Updated 6 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆427Updated 2 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆704Updated 6 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,812Updated last year
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆274Updated 5 years ago
• pgmpy / pgmpy
  Python library for Causal AI
  ☆3,143Updated last week
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆489Updated 6 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆314Updated 9 years ago
• jamesrobertlloyd / gp-structure-search
  ☆244Updated 8 years ago
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,029Updated 3 months ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,215Updated last month
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆273Updated 5 years ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,597Updated this week
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆684Updated this week
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,840Updated last year
• jluttine / tikz-bayesnet
  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
  ☆859Updated last year
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆709Updated 4 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆945Updated last week
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,406Updated 2 weeks ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,394Updated 8 years ago
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆894Updated 2 years ago
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆928Updated 4 years ago
• CMA-ES / pycma
  Python implementation of CMA-ES
  ☆1,276Updated last week