Alternatives and similar repositories for GPyOpt

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

• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,096Updated 4 months ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 6 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,874Updated this week
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆408Updated 2 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆313Updated 8 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆269Updated 5 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,771Updated last year
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆883Updated last year
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,271Updated this week
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,164Updated last week
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,396Updated 7 years ago
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆632Updated 3 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,709Updated 2 months ago
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆710Updated 3 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆697Updated 7 months ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆616Updated 2 years ago
• jamesrobertlloyd / gp-structure-search
  ☆233Updated 7 years ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆679Updated last week
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆234Updated last week
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆214Updated 6 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,867Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,629Updated last month
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,317Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆518Updated 3 years ago
• CMA-ES / pycma
  Python implementation of CMA-ES
  ☆1,189Updated 2 weeks ago