Alternatives and similar repositories for Spearmint

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

• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,394Updated 8 years ago
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,319Updated 2 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆949Updated 2 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆489Updated 6 years ago
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆515Updated 11 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆702Updated 5 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,897Updated 7 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,805Updated last year
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,842Updated last year
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆424Updated 2 years ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,137Updated 6 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆423Updated 2 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆876Updated 5 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 years ago
• dmlc / minpy
  NumPy interface with mixed backend execution
  ☆1,102Updated 7 years ago
• mila-iqia / blocks
  A Theano framework for building and training neural networks
  ☆1,154Updated 6 years ago
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆873Updated 3 years ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,211Updated last week
• aigamedev / scikit-neuralnetwork
  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
  ☆1,206Updated 4 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆771Updated last year
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆928Updated 4 years ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,506Updated 10 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 8 months ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆953Updated 2 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆268Updated 9 years ago
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,139Updated 4 years ago
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,027Updated 2 months ago