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  1. nlptutorial nlptutorial Public

    Forked from neubig/nlptutorial

    A Tutorial about Programming for Natural Language Processing

    Perl 1

  2. CS228T.2012 CS228T.2012 Public

    Forked from sancha/CS228T.2012

    The programming assignments from CS228T offered in Spring 2012 at Stanford

    Objective-C

  3. d3-book d3-book Public

    Forked from scotthmurray/d3-book

    Sample code files to accompany the book “Interactive Data Visualization for the Web” by Scott Murray

    JavaScript 1

  4. DC_DataScience_Meetup DC_DataScience_Meetup Public

    Forked from maksim2042/DC_DataScience_Meetup

    Code and slides for the DC Data Science Meetup talk

    Python

  5. magicmethods magicmethods Public

    Forked from RafeKettler/magicmethods

    Guide to Python's magic methods

    Python

  6. visrenren visrenren Public

    visualize Renren friends

    JavaScript

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  • TimeSeriesAnalysisWithPython Public Forked from AileenNielsen/TimeSeriesAnalysisWithPython

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    Jupyter Notebook 0 1,127 0 0 Updated Jul 12, 2016
  • nlptutorial Public Forked from neubig/nlptutorial

    A Tutorial about Programming for Natural Language Processing

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    Perl 1 154 0 0 Updated Oct 29, 2015
  • sklearn_tutorial Public Forked from jakevdp/sklearn_tutorial

    Materials for my scikit-learn tutorial

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    Python 0 BSD-3-Clause 964 0 0 Updated Sep 8, 2015
  • PyCon2015 Public Forked from kastnerkyle/PyCon2015

    Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/367/

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    Python 0 BSD-3-Clause 26 0 0 Updated Apr 10, 2015
  • data-science-from-scratch Public Forked from joelgrus/data-science-from-scratch

    code for Data Science From Scratch book

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    Python 0 Unlicense 4,739 0 0 Updated Apr 10, 2015
  • courses Public Forked from ledeprogram/courses

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    HTML 0 62 0 0 Updated Mar 31, 2015
  • tutorials Public Forked from addfor/tutorials

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    HTML 0 100 0 0 Updated Mar 26, 2015
  • Kalman-and-Bayesian-Filters-in-Python Public Forked from rlabbe/Kalman-and-Bayesian-Filters-in-Python

    Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

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    HTML 0 4,604 0 0 Updated Mar 8, 2015
  • Bastien-Theano-Workshop Public Forked from gwulfs/Bastien-Theano-Workshop

    This repo contain the exercies of the Next.ML 2015 presentation

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    Python 0 38 0 0 Updated Feb 16, 2015
  • NLP-in-Python Public Forked from arnicas/NLP-in-Python

    Intro to some NLP concepts in Python for a class

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    Shell 0 31 0 0 Updated Feb 13, 2015
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