Alternatives and similar repositories for SMAC3:

Users that are interested in SMAC3 are comparing it to the libraries listed below

• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆615Updated 2 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 5 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆935Updated 2 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆206Updated last month
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,598Updated 6 months ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,551Updated 5 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,753Updated 10 months ago
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,148Updated this week
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆266Updated 4 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆405Updated last year
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆309Updated 8 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆416Updated 2 weeks ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆592Updated 6 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆269Updated 4 years ago
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,402Updated 9 months ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆772Updated 11 months ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,063Updated this week
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,390Updated 7 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,857Updated 2 weeks ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆848Updated last year
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆144Updated 7 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,673Updated 2 weeks ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆625Updated 11 months ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆849Updated 4 months ago
• uber-research / TuRBO
  ☆188Updated 5 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆411Updated last year
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆242Updated 2 years ago
• CMA-ES / pycma
  Python implementation of CMA-ES
  ☆1,136Updated 3 months ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆694Updated 11 months ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆705Updated 3 years ago