woobe

woobe's Stars

• scholmd/scholmd

  Learn how to use scholarly markdown

  Language:TeX40938

• timelyportfolio/rCharts_dimple

  Language:JavaScript3117

• ivan-vasilev/neuralnetworks

  java deep learning algorithms and deep neural networks with gpu acceleration

  Language:Java1.2k361

• jbryer/makeR

  An R package to help manage R projects (e.g. Sweave reports) where multiple versions are created based upon a single source repository. For example, a monthly report where each versions is identitcal with the exception of easily definable parameters (e.g. date ranges for data extraction, title, etc.). This package is not meant to assist with package development or more complex data analysis projects. For those types of projects, consider devtools or ProjectTemplate, respectively.

  Language:R2415

• karthik/markdown_science

  Learn how to use markdown for science

  Language:TeX30077

• ramnathv/rblocks

  A fun and visual way to learn data structures and control flow in R.

  Language:R269

• tidyverse/dplyr

  dplyr: A grammar of data manipulation

  Language:R4.8k2.1k

• hmcuesta/PDA_Book

  Code Examples Data Science using Python

  Language:Python157145

• LluisRamon/relenium

  Easy and powerful web scraping with Selenium

  Language:R334

• ramnathv/rMaps

  Interactive Maps from R

  Language:JavaScript388194

• ramnathv/slidifyExamples

  Sample Presentations

  Language:JavaScript62111

• dkahle/ggmap

  A package for plotting maps in R with ggplot2

  Language:R769231

• ramnathv/rCharts

  Interactive JS Charts from R

  Language:JavaScript1.2k655

• adam-p/markdown-here

  Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

  Language:JavaScript59.7k11.3k

• zygmuntz/kaggle-blackbox

  Deep learning made easy

  Language:Matlab11561

• jngiam/sparseFiltering

  Sparse Filtering

  Language:Matlab21858

• VowpalWabbit/vowpal_wabbit

  Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

  Language:C++8.5k1.9k

• coursera-dl/coursera-dl

  Script for downloading Coursera.org videos and naming them.

  Language:Python9.4k2.2k

• owenzhang/Kaggle-AmazonChallenge2013

  my public kaggle code

  Language:R7983

• yhat/ggpy

  ggplot port for python

  Language:Python3.7k572

• hadley/adv-r

  Advanced R: a book

  Language:TeX2.4k1.7k

• LeaVerou/inspire.js

  Lean, hackable, extensible slide deck framework. Previously known as CSSS.

  Language:JavaScript1.7k253

• there4/markdown-resume

  Generate a responsive CSS3 and HTML5 resume with Markdown, with optional PDF output.

  Language:Less1.8k519

• dgorissen/coursera-dl

  A script for downloading course material (video's, pdfs, quizzes, etc) from coursera.org

  Language:Python1.7k300

• mbjoseph/project-template

  makes an academic article

  Language:TeX1610

• rasmusbergpalm/DeepLearnToolbox

  Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

  Language:Matlab3.8k2.3k

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.3k15.2k

• zachmayer/caretEnsemble

  caret models all the way down :turtle:

  Language:R22674

• mewo2/medley

  A system for blending regression models in R

  Language:R7516