Alternatives and similar repositories for ConfigSpace:

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

• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆616Updated 2 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆142Updated 3 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆145Updated 7 months ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆484Updated 5 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 4 years ago
• 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
• automl / fanova
  Functional ANOVA
  ☆122Updated 10 months ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,108Updated this week
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 2 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆269Updated 4 years ago
• automl / pybnn
  Bayesian neural network package
  ☆141Updated 3 years ago
• AIworx-Labs / chocolate
  A fully decentralized hyperparameter optimization framework
  ☆121Updated 6 months ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 4 months ago
• automl / pylearningcurvepredictor
  predicting learning curves in python
  ☆43Updated 7 years ago
• automl / DEHB
  ☆73Updated 5 months ago
• automl / nas_benchmarks
  ☆94Updated 5 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆49Updated 7 months ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆417Updated 3 weeks ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆77Updated last week
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 2 weeks ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆173Updated last year
• uber-research / TuRBO
  ☆188Updated 6 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆592Updated 6 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆75Updated 5 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 3 years ago
• deephyper / deephyper
  DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
  ☆278Updated this week
• automl / AutoFolio
  Automated Algorithm Selection with Hyperparameter Optimization
  ☆36Updated last year
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆242Updated 2 years ago
• syne-tune / syne-tune
  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
  ☆394Updated last week