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

• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 5 months 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…
  ☆127Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 2 months ago
• isadoranun / FATS
  ☆75Updated last year
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆48Updated 8 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆245Updated 3 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆313Updated 8 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆231Updated 4 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 4 months ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 6 months ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• jkfitzsimons / IPyNotebook_MachineLearning
  This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
  ☆34Updated 10 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago
• cliburn / sta-663-2016
  STA663 Statistical Computing and Computation, Spring 2016
  ☆87Updated 9 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆149Updated last year
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• mims-harvard / scikit-fusion
  scikit-fusion: Data fusion via collective latent factor models
  ☆149Updated 2 years ago