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
  ☆7,616Updated 2 weeks ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,811Updated last year
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,452Updated last week
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,140Updated 7 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,901Updated 8 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,824Updated this week
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆948Updated 3 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,911Updated last year
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,449Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,080Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,146Updated 8 months ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆8,047Updated 2 weeks ago
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,407Updated this week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,105Updated 2 weeks ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,355Updated 3 months ago
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,560Updated 6 years ago
• pgmpy / pgmpy
  Python library for Causal AI
  ☆3,143Updated last week
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,647Updated 9 months ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,564Updated 6 years ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆13,453Updated last week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,825Updated 2 months ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,149Updated last month
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,215Updated last month
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,479Updated 3 weeks ago
• cvxpy / cvxpy
  A Python-embedded modeling language for convex optimization problems.
  ☆6,091Updated this week
• scikit-learn-contrib / hdbscan
  A high performance implementation of HDBSCAN clustering.
  ☆3,058Updated last week
• dmlc / xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆27,966Updated this week
• microsoft / LightGBM
  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …
  ☆18,064Updated this week
• hmmlearn / hmmlearn
  Hidden Markov Models in Python, with scikit-learn like API
  ☆3,374Updated last year
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆24,999Updated this week