Alternatives and similar repositories for BayesianOptimization

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

• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,494Updated 2 weeks ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,796Updated last year
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,378Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,050Updated 2 months ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,122Updated 4 months ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆948Updated 2 years ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,123Updated 4 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,781Updated 2 weeks ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,930Updated this week
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,561Updated 5 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,899Updated last year
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,981Updated this week
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,647Updated 6 months ago
• DEAP / deap
  Distributed Evolutionary Algorithms in Python
  ☆6,235Updated 5 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,889Updated 5 months ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,341Updated last week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,079Updated 4 months ago
• trevorstephens / gplearn
  Genetic Programming in Python, with a scikit-learn inspired API
  ☆1,751Updated 3 months ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,466Updated 4 months ago
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,498Updated last year
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,176Updated 2 years ago
• facebook / Ax
  Adaptive Experimentation Platform
  ☆2,595Updated this week
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆24,600Updated last week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,124Updated this week
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,201Updated this week
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,440Updated last year
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,788Updated last week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,380Updated last week
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆10,005Updated last month
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,561Updated 5 years ago