Alternatives and similar repositories for RedQueen

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

• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆74Updated 7 years ago
• roycoding / slots
  A multi-armed bandit library for Python
  ☆82Updated 5 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 10 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• facebookarchive / ml_sampler
  Model assisted random sampling.
  ☆119Updated 5 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• christopherjenness / ML-lib
  An extensive machine learning library, made from scratch (Python).
  ☆111Updated 7 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 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
• napsternxg / ipython-notebooks
  Some iPython Notebooks I have created for personal learning
  ☆65Updated last year
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆65Updated 8 years ago
• mblondel / spira
  Recommender systems in Python
  ☆50Updated 10 years ago
• jayfeng1 / hostel_reviews_nltk
  Hostel Reviews analyzed with some intelligence @HotelReviewsBot
  ☆56Updated 9 years ago
• janivanecky / Numpy-RNNs
  ☆49Updated 9 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 11 years ago
• daeilkim / refinery
  Refinery - A locally deployable open-source web platform for analysis of large document collections
  ☆101Updated 9 years ago
• smallk / smallk.github.io
  SmallK: very fast data clustering tools
  ☆14Updated 6 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 9 years ago
• kootenpv / xtoy
  Automated Machine Learning: go from 'X' to 'y' without effort.
  ☆49Updated 6 years ago
• krasch / presentations
  Material for some talks I have given
  ☆62Updated last year