Alternatives and similar repositories for emukit

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

• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆242Updated last month
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆951Updated 2 years ago
• jamesrobertlloyd / gp-structure-search
  ☆241Updated 8 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆272Updated 5 years ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆255Updated 3 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,896Updated 6 months ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,130Updated 5 months ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆466Updated 3 months ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆184Updated 6 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• SALib / SALib
  Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
  ☆960Updated last week
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆214Updated 4 years ago
• uber-research / TuRBO
  ☆214Updated last year
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆337Updated last week
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆335Updated last month
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated 2 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆459Updated 5 months 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
  ☆188Updated 11 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆225Updated 11 months ago
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆893Updated 2 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆465Updated last year
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• automl / pybnn
  Bayesian neural network package
  ☆152Updated 4 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆193Updated 10 years ago
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆833Updated last week
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆156Updated 4 years ago