Alternatives and similar repositories for hyperband

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

• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆489Updated 6 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆625Updated 3 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆424Updated 2 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• andosa / treeinterpreter
  ☆762Updated 2 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆812Updated 3 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆408Updated 8 months ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆185Updated 6 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆411Updated 2 years ago
• tensorflow / lattice
  Lattice methods in TensorFlow
  ☆519Updated last year
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 5 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 3 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆344Updated 5 years ago
• chaserileyroberts / mltest
  Testing framework to simplify writing ML unit tests.
  ☆346Updated 6 years ago
• bstriner / keras-tqdm
  Keras integration with TQDM progress bars
  ☆349Updated 4 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,393Updated 8 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆524Updated last month
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 4 years ago
• dvgodoy / deepreplay
  Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
  ☆282Updated 2 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• tmadl / highdimensional-decision-boundary-plot
  Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compa…
  ☆235Updated 2 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆266Updated 6 years ago
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆735Updated 3 years ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆780Updated 5 years ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆222Updated 6 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆314Updated 9 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 years ago