Alternatives and similar repositories for spearmint

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

• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,561Updated 6 years ago
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,319Updated 2 years ago
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆515Updated 11 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆424Updated 2 years ago
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆873Updated 3 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆949Updated 2 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆953Updated 2 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆876Updated 5 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆489Updated 6 years ago
• aigamedev / scikit-neuralnetwork
  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
  ☆1,206Updated 4 years ago
• dmlc / minpy
  NumPy interface with mixed backend execution
  ☆1,102Updated 7 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆704Updated 5 months ago
• mila-iqia / blocks
  A Theano framework for building and training neural networks
  ☆1,154Updated 6 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
• lvdmaaten / bhtsne
  Barnes-Hut t-SNE
  ☆920Updated 4 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆411Updated 2 years ago
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,294Updated 10 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆505Updated 4 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆771Updated last year
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆365Updated 8 years ago
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆928Updated 4 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,897Updated 7 months ago
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,578Updated 2 years ago
• benanne / kaggle-ndsb
  Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)
  ☆566Updated 10 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆268Updated 9 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,807Updated last year
• nitishsrivastava / deepnet
  Implementation of some deep learning algorithms.
  ☆895Updated 11 years ago