Alternatives and similar repositories for BOAH:

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

• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 2 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆114Updated 4 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆145Updated 3 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆146Updated last month
• automl / pybnn
  Bayesian neural network package
  ☆147Updated 3 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 3 years ago
• automl / fanova
  Functional ANOVA
  ☆122Updated last month
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆52Updated 5 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆37Updated 5 years ago
• kirthevasank / gp-parallel-ts
  Parallelised Thompson Sampling in GPs for Bayesian Optimisation
  ☆36Updated 7 years ago
• ChangYong-Oh / HyperSphere
  ☆16Updated 6 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆76Updated 4 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 4 months ago
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 2 months ago
• QUVA-Lab / COMBO
  ☆50Updated 9 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated last week
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆98Updated 7 months ago
• automl / DEHB
  ☆79Updated 8 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆133Updated 6 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆50Updated 10 months ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆209Updated 5 months ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆269Updated 5 years ago
• facebookresearch / SingleModelUncertainty
  Learning error bars for neural network predictions
  ☆70Updated 5 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 4 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 10 months ago