pablobarbera

pablobarbera's Stars

• public-apis/public-apis

  A collective list of free APIs

  Language:Python321k4.2k63734.1k

• mtdvio/every-programmer-should-know

  A collection of (mostly) technical things every software developer should know about

  85.6k2k517.9k

• ziishaned/learn-regex

  Learn regex the easy way

  45.8k900866.3k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.4k9085.3k8.7k

• tabulapdf/tabula

  Tabula is a tool for liberating data tables trapped inside PDF files

  Language:CSS6.8k1970651

• facebookresearch/DrQA

  Reading Wikipedia to Answer Open-Domain Questions

  Language:Python4.5k158252896

• JasonKessler/scattertext

  Beautiful visualizations of how language differs among document types.

  Language:Python2.3k55101293

• yihui/xaringan

  Presentation Ninja 幻灯忍者 · 写轮眼

  Language:CSS1.5k65276281

• chrisjmccormick/inspect_word2vec

  Python code for checking out Google's pre-trained, 3M word Word2Vec model

  Language:Python31717897

• bnosac/image

  Computer Vision and Image Recognition algorithms for R users

  Language:C++278232565

• jacobeisenstein/gt-css-class

  Georgia Tech graduate seminar on computational social science

  Language:Jupyter Notebook10817042

• pommedeterresautee/fastrtext

  R wrapper for fastText

  Language:C++101134115

• ljdursi/beyond-single-core-R

  Short tour of parallel and foreach packages, and how to think about scaling data analyses

  Language:R765214

• congosto/t-hoarder_kit

  Set of basic tools to extract data from the Twitter API and visualize graphs

  Language:Python639921

• worldbank/ml4dev

  Machine Learning for Development: A method to Learn and Identify Earth Features from Satellite Images

  Language:Python5016218

• BuzzFeedNews/2017-08-partisan-sites-and-facebook-pages

  Data, analytic code, and findings related to the BuzzFeed News article, "Inside The Partisan Fight For Your News Feed," published August 8, 2017.

  Language:Jupyter Notebook468018

• mine-cetinkaya-rundel/teach-ds-to-new-user

  Slides and demo materials for the "Teaching data science to new useRs" talk at useR2017.

  45608

• flinder/active_stream

  Active learning support for targeted Twitter stream

  Language:Python25322

• danilofreire/prisonbrief

  An R package that returns tidy data from the World Prison Brief website.

  Language:R18350

• kapelner/Wharton_Stat_422_722

  The official class webpage for Statistics 422/722 taught at Wharton in the Spring of 2017

  Language:TeX17818

• berkeley-scf/tutorial-efficient-R

  Tutorial on writing efficient R code, including timing and profiling your code, as well as fast linear algebra

  Language:HTML163011

• justingrimmer/WUSTL

  Text as Data Material for WashU Course

  Language:TeX147020

• matthewjdenny/SoDA-Workshop-Series-Introduction-to-Data-Science

  Wherein we all learn to be Data Ninjas, Mondays from 1:30-2:30 in the Data Basement at Penn State (Spring 2018)

  Language:R129014

• wesslen/NCStateSenateFacebook

  Structural Topic Modeling of the Facebook posts of NC State Senators

  Language:HTML12203

• justinchuntingho/China-Quarterly

  Text Analysis of the China Quarterly Censorship Scandal

  Language:R11202

• sebastianbarfort/sds_summer

  Social Data Science, summer school course at University of Copenhagen

  Language:R7409

• fhollenbach/OLD_polisci209_DONOTUSE

  Course Page for Political Science 209 -- Texas A&M University -- Fall 2017

  Language:R6301

• aristotle-tek/Classif_Accuracy_Polarization

  Replication files for "Classification Accuracy as a Substantive Quantity of Interest" Political Analysis Letters

  Language:HTML4315

• stefan-mueller/ger-man-2017

  Repository containing the manifestos of 2017 German federal election

  Language:R3200

• NateMietk/using-aws

  This small repository is a step-by-step tutorial on how to use AWS for Earth Lab members

  Language:HTML1