Alternatives and similar repositories for pyGPGO

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

• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 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
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 6 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated 10 months ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆943Updated 2 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆313Updated 8 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 11 years ago
• jamesrobertlloyd / gp-structure-search
  ☆233Updated 7 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆37Updated 5 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 7 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆167Updated 2 years ago
• automl / pybnn
  Bayesian neural network package
  ☆147Updated 3 years ago
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆210Updated 3 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆233Updated 4 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆150Updated 6 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆135Updated 4 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated 10 months ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆409Updated 2 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• kirthevasank / gp-parallel-ts
  Parallelised Thompson Sampling in GPs for Bayesian Optimisation
  ☆36Updated 7 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 10 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆51Updated 2 weeks ago
• chrisstroemel / Simple
  Experimental Global Optimization Algorithm
  ☆482Updated 7 years ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆234Updated this week
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆188Updated 3 years ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆190Updated 9 years ago
• AIworx-Labs / chocolate
  A fully decentralized hyperparameter optimization framework
  ☆123Updated 10 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated last month
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 4 years ago