Alternatives and similar repositories for lda

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

• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 9 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 10 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 10 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 7 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• smallk / smallk.github.io
  SmallK: very fast data clustering tools
  ☆14Updated 6 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆74Updated 7 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆49Updated 10 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• rohit-jain / parzer
  Statistical Dependency Parser using SVM as proposed by Yamada et al
  ☆29Updated 9 years ago
• ContinuumIO / topik
  A Topic Modeling toolbox
  ☆92Updated 9 years ago
• soumith / nextml
  ☆35Updated 10 years ago
• daeilkim / refinery
  Refinery - A locally deployable open-source web platform for analysis of large document collections
  ☆101Updated 8 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• probcomp / crosscat
  A domain-general, Bayesian method for analyzing high-dimensional data tables
  ☆327Updated last year
• stitchfix / Algorithms-Notebooks
  Algorithm's team Jupyter Notebooks
  ☆113Updated 2 months ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• fridiculous / estimators
  Machine Learning Versioning made Simple
  ☆38Updated 3 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆101Updated 4 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 7 years ago
• nasa-jpl-memex / topic_space
  Topic modeling web application
  ☆41Updated 10 years ago
• jvns / forestspy
  spy on your random forests
  ☆19Updated 5 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆31Updated 10 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago