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
  ☆243Updated 2 months ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆950Updated 2 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 years ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,134Updated 6 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,895Updated 6 months ago
• jamesrobertlloyd / gp-structure-search
  ☆243Updated 8 years ago
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆214Updated 4 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆255Updated 3 years ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆467Updated 3 months 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
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆340Updated 3 weeks ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• uber-research / TuRBO
  ☆217Updated last year
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆456Updated 5 months ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• SALib / SALib
  Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
  ☆965Updated last month
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆182Updated 6 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆463Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆240Updated 2 months ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆337Updated last month
• automl / pybnn
  Bayesian neural network package
  ☆153Updated 4 years ago
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆841Updated last week
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆894Updated 2 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• vlad17 / runlmc
  Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.
  ☆39Updated 3 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆157Updated 4 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆489Updated 6 years ago
• andim / scipydirect
  Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax
  ☆30Updated 3 years ago