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
  ☆618Updated 2 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆488Updated 6 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆947Updated 2 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆214Updated last week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,793Updated last year
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆430Updated last week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,345Updated this week
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,643Updated 5 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆154Updated 3 months ago
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,482Updated last year
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• uber-research / TuRBO
  ☆206Updated last year
• automl / AutoFolio
  Automated Algorithm Selection with Hyperparameter Optimization
  ☆40Updated last year
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆418Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆888Updated 2 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆270Updated 5 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆645Updated last year
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,771Updated last week
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆705Updated 5 months ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆863Updated last year
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆341Updated 4 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated last year
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆784Updated last year
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,561Updated 5 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,889Updated 3 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆90Updated 3 weeks ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆153Updated 4 years ago