Alternatives and similar repositories for scikit-learn-mpi-grid-search:

Users that are interested in scikit-learn-mpi-grid-search are comparing it to the libraries listed below

• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• msmbuilder / osprey
  🦅Hyperparameter optimization for machine learning pipelines 🦅
  ☆74Updated 4 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 8 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• isadoranun / FATS
  ☆75Updated last year
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆286Updated 9 months ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated 9 months ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆212Updated 7 years ago
• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 7 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆47Updated 8 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆286Updated 9 months ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆176Updated last year
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 10 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆240Updated 6 years ago
• simaaron / kaggle-Rain
  Winning solution to the Kaggle competition - How Much Did It Rain? II
  ☆155Updated 9 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆265Updated 8 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• kevin-keraudren / randomforest-python
  ☆59Updated 9 years ago