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
  ☆1,207Updated this week
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆217Updated 2 weeks ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆489Updated 6 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆445Updated this week
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆950Updated 2 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆344Updated 5 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆511Updated 4 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆157Updated 6 months ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆156Updated 4 years ago
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆548Updated 2 years ago
• google-research / tensorflow_constrained_optimization
  ☆309Updated 4 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆314Updated 2 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆812Updated 3 years ago
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 3 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆314Updated 9 years ago
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆893Updated 2 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆272Updated 5 years ago
• automl / fanova
  Functional ANOVA
  ☆125Updated 8 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆302Updated 6 years ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆577Updated 7 months ago
• SMPyBandits / SMPyBandits
  🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…
  ☆416Updated last year
• sbadirli / GrowNet
  ☆206Updated 4 years ago
• syne-tune / syne-tune
  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
  ☆419Updated last week
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆735Updated 3 years ago