Alternatives and similar repositories for ramp

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

• jaberg / skdata
  Data sets for machine learning in Python
  ☆474Updated 7 years ago
• idiap / bob
  Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in…
  ☆263Updated 8 years ago
• luispedro / milk
  MILK: Machine Learning Toolkit
  ☆603Updated 10 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆228Updated 7 years ago
• hannes-brt / hebel
  GPU-Accelerated Deep Learning Library in Python
  ☆1,166Updated 4 years ago
• tburmeister / pyneural
  ☆212Updated 9 years ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆363Updated 8 years ago
• turi-code / how-to
  How-To code samples for working with GraphLab Create.
  ☆207Updated 8 years ago
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆299Updated 8 years ago
• jakevdp / sklearn_pycon2014
  Repository containing files for my PyCon 2014 scikit-learn tutorial.
  ☆226Updated 9 years ago
• jseabold / depy
  DePy 2015 Talk
  ☆117Updated 7 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• jaberg / IPythonTheanoTutorials
  ☆196Updated 12 years ago
• kastnerkyle / PyCon2015
  Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/36…
  ☆87Updated 10 years ago
• mirri66 / xgbmagic
  ☆190Updated last year
• zomux / deepy
  A highly extensible deep learning framework
  ☆423Updated 7 years ago
• nyghtowl / Neural_Net_Newbies
  Neural Net Starter Examples
  ☆89Updated 9 years ago
• jackgolding / FullStackDataAnalysis
  Presentation at Perth Data Science Meetup, February 2015
  ☆72Updated 10 years ago
• amueller / odscon-sf-2015
  Material for ODSCON San Francisco 2015
  ☆79Updated 9 years ago
• Prooffreader / intro_machine_learning
  Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
  ☆102Updated 6 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆952Updated last year
• EducationalTestingService / skll
  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  ☆555Updated 5 months ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆222Updated 2 years ago
• columbia-applied-data-science / rosetta
  Tools, wrappers, etc... for data science with a concentration on text processing
  ☆206Updated 2 years ago
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆869Updated 2 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
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆567Updated last year
• thomas-haslwanter / statsintro
  Introduction to Statistics
  ☆231Updated 9 years ago
• deeplearningparis / dl-machine
  Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
  ☆296Updated 9 years ago
• vitruvianscience / OpenDeep
  Modular & extensible deep learning framework built on Theano.
  ☆210Updated 2 years ago