Alternatives and similar repositories for distributions

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

• forcedotcom / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆33Updated last year
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 10 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆49Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• posterior / loom
  A streaming cross-cat inference engine
  ☆20Updated last year
• ryotat / mlss15
  ☆58Updated 9 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• jaberg / MonteTheano
  ☆35Updated 12 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆65Updated 8 years ago
• probcomp / crosscat
  A domain-general, Bayesian method for analyzing high-dimensional data tables
  ☆328Updated last year
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• better / crossfader
  Autoencoders to find structure in arbitrary datasets
  ☆122Updated 10 years ago
• craffel / simple_spearmint
  Spearmint, without the gum
  ☆42Updated 8 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆74Updated 7 years ago
• dukestats / gpustats
  Library for GPU-related statistical functions
  ☆84Updated 13 years ago
• mila-iqia / picklable-itertools
  itertools. But picklable.
  ☆37Updated 10 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 7 years ago
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 6 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• enlitic / lasagne4newbs
  Some beginner code for lasagne - simpler than the examples included in lasagne
  ☆17Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• jakevdp / cython_template
  Package template for a project using Cython
  ☆59Updated 9 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆25Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• jrmontag / mnist-sklearn
  Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:
  ☆29Updated 9 years ago
• shilad / PyVowpal
  Python wrapper for the Vowpal Wabbit machine learning library.
  ☆53Updated 12 years ago