Alternatives and similar repositories for bayesopt

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

• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆270Updated 5 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆488Updated 6 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆947Updated 2 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
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 12 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆312Updated 8 years ago
• jamesrobertlloyd / gp-structure-search
  ☆240Updated 8 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆136Updated 4 years 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
  ☆185Updated 11 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆422Updated last year
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated last year
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆193Updated 10 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• oxfordcontrol / Bayesian-Optimization
  Reference implementation of Optimistic Expected Improvement.
  ☆50Updated 5 years ago
• resibots / limbo
  A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
  ☆255Updated last year
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,890Updated 3 months ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,319Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 2 years ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,194Updated this week
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,024Updated 2 months ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆235Updated 4 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆97Updated 5 years ago
• uber-research / TuRBO
  ☆205Updated last year
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆52Updated 3 months ago
• chrisstroemel / Simple
  Experimental Global Optimization Algorithm
  ☆483Updated 7 years ago