Alternatives and similar repositories for PyVowpal

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

• jessykate / streamLDA
  Latent Dirichlet Allocation for topic modeling of streamed data sources
  ☆100Updated 10 years ago
• alex-pirozhenko / sklearn-pmml
  A library that allows serialization of SciKit-Learn estimators into PMML
  ☆70Updated 5 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• dukestats / gpustats
  Library for GPU-related statistical functions
  ☆84Updated 12 years ago
• josephreisinger / dist_lda
  distributed latent dirichlet allocation
  ☆30Updated 13 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 9 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 7 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• josephreisinger / lvm-toolkit
  UT Austin Machine Learning Group Latent Variable Modeling Toolkit
  ☆26Updated 13 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
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 6 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 10 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 9 years ago
• bwhite / hadoop_vision
  Example code for "Web-Scale Computer Vision using MapReduce for Multimedia Data Mining"
  ☆49Updated 15 years ago
• josephreisinger / vowpal_porpoise
  lightweight python wrapper for vowpal wabbit
  ☆168Updated 5 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• roycoding / slots
  A multi-armed bandit library for Python
  ☆82Updated 5 years ago
• jvns / forestspy
  spy on your random forests
  ☆19Updated 4 years ago
• capitalk / treelearn
  Ensembles and Tree Learning Algorithms for Python
  ☆52Updated 11 years ago