datamicroscopes / lda

Related projects ⓘ

Alternatives and complementary repositories for lda

• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 9 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 10 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated 7 months ago
• soumith / nextml
  ☆35Updated 9 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆65Updated 7 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆21Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• n17s / fest
  Fast Ensembles of Sparse Trees
  ☆38Updated 8 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 9 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 8 years ago
• nasa-jpl-memex / topic_space
  Topic modeling web application
  ☆39Updated 9 years ago
• datamicroscopes / mixturemodel
  Dirichlet process mixture model (DPMM) for datamicroscopes
  ☆12Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 9 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 7 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆68Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆27Updated 8 years ago
• ryotat / mlss15
  ☆58Updated 8 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 8 years ago