Alternatives and similar repositories for HpBandSter

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

• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,188Updated last week
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆214Updated 3 weeks ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 7 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆488Updated 6 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆430Updated this week
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆947Updated 2 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆340Updated 4 years ago
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 3 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆153Updated 4 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆153Updated 3 months ago
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆549Updated 2 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆271Updated 4 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆497Updated 4 years ago
• google-research / tensorflow_constrained_optimization
  ☆308Updated 4 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• automl / fanova
  Functional ANOVA
  ☆125Updated 5 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• 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
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆888Updated 2 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆312Updated 8 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆312Updated 2 years ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆705Updated 5 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,788Updated last year
• deephyper / deephyper
  DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
  ☆296Updated this week
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆513Updated 2 months ago
• automl / DEHB
  ☆87Updated 4 months ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆491Updated last year