Alternatives and similar repositories for BOAH

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

• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 4 years ago
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 3 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆153Updated 4 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• automl / pybnn
  Bayesian neural network package
  ☆151Updated 4 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆153Updated 3 months ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆53Updated 6 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆175Updated 3 years ago
• automl / fanova
  Functional ANOVA
  ☆125Updated 5 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 5 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated last year
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆271Updated 4 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years 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
• ChangYong-Oh / HyperSphere
  ☆17Updated 6 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• kirthevasank / gp-parallel-ts
  Parallelised Thompson Sampling in GPs for Bayesian Optimisation
  ☆36Updated 7 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆162Updated 3 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆196Updated 2 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆487Updated 6 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆340Updated 4 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆214Updated 3 weeks ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated last year