Alternatives and similar repositories for pymc2

Users that are interested in pymc2 are comparing it to the libraries listed below

• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆926Updated 4 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆697Updated 7 months ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆903Updated 3 years ago
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆969Updated this week
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆679Updated this week
• pystruct / pystruct
  Simple structured learning framework for python
  ☆667Updated 3 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆518Updated 3 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
  ☆851Updated 4 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,396Updated 7 years ago
• fonnesbeck / scipy2014_tutorial
  Tutorial: Bayesian Statistical Analysis in Python
  ☆319Updated 6 years ago
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆710Updated 3 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆952Updated last year
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆461Updated last year
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,015Updated last year
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,317Updated 2 years ago
• markdregan / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PyMC3)
  ☆2,499Updated 8 years ago
• paulgb / runipy
  Run IPython notebooks as command-line scripts, generate HTML reports
  ☆450Updated 7 years ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,445Updated 2 months ago
• aigamedev / scikit-neuralnetwork
  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
  ☆1,206Updated 4 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,127Updated last year
• yandex / rep
  Machine Learning toolbox for Humans
  ☆696Updated 10 months ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆868Updated 2 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,836Updated last year
• transcranial / jupyter-themer
  Apply custom CSS styling to your jupyter notebooks
  ☆329Updated 6 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆896Updated 4 years ago