Alternatives and similar repositories for sklearn-bayes

Users that are interested in sklearn-bayes are comparing it to the libraries listed below

• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆464Updated 2 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 5 months ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆698Updated last month
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆422Updated last year
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆238Updated 3 weeks ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆904Updated 4 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆312Updated 8 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆284Updated 2 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆681Updated last week
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆928Updated 4 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 2 months ago
• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆267Updated last year
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆414Updated 6 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆289Updated 4 months ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆246Updated 5 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…
  ☆127Updated 9 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆267Updated 9 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 8 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 7 years ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆328Updated 2 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆877Updated 5 years ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆863Updated 5 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 7 years ago
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆339Updated 2 years ago