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
  ☆619Updated 2 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆487Updated 6 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆214Updated 2 weeks ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,788Updated last year
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆947Updated 2 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆432Updated last week
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,644Updated 4 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆595Updated 7 years ago
• automl / AutoFolio
  Automated Algorithm Selection with Hyperparameter Optimization
  ☆39Updated last year
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,332Updated this week
• CMA-ES / pycma
  Python implementation of CMA-ES
  ☆1,209Updated 2 weeks ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆153Updated 3 months ago
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆839Updated 5 months ago
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,562Updated 5 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,559Updated 5 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆491Updated last year
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆773Updated last year
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆892Updated 2 years ago
• uber-research / TuRBO
  ☆203Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆860Updated 11 months ago
• trevorstephens / gplearn
  Genetic Programming in Python, with a scikit-learn inspired API
  ☆1,723Updated last month
• numbbo / coco
  Numerical Black-Box Optimization Benchmarking Framework
  ☆286Updated 7 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,767Updated last month
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• syne-tune / syne-tune
  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
  ☆411Updated 2 weeks ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆418Updated 2 years ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆705Updated 5 months ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆268Updated 5 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,584Updated last year