Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
Scripts that generate .html to more easily see NIPS papers
branch: master

Fetching latest commit…

Cannot retrieve the latest commit at this time

Failed to load latest commit information.
abstracts
thumbs
Readme.md Can now also AJAX download and show abstracts for every paper at user…
generatenice.py
generatenicelda.py Can now also AJAX download and show abstracts for every paper at user…
getabstracts.py
jquery-1.8.3.min.js
lda.py
makecorpus.py
nipsnice_template.html Can now also AJAX download and show abstracts for every paper at user…
pdftothumbs.py initial commit of scripts
pdftowordcloud.py initial commit of scripts
scrape.py initial commit of scripts
stopwords.txt Now also comptues LDA topics and allows the user to sort by topics wh…
vocabulary.py Now also comptues LDA topics and allows the user to sort by topics wh…

Readme.md

NIPS papers pretty html

This is a set of scripts for creating nice preview page (see here: http://cs.stanford.edu/~karpathy/nipspreview/ ) for all papers published at NIPS. I hope these scripts can be useful to others to create similar pages for other conferences. They show how one can manipulate PDFs, extract image thumbnails, analyze word frequencies, do AJAX requests to load abstracts, etc.

Installation

  1. Clone this repository git clone https://github.com/karpathy/nipspreview.git

  2. Download nips25offline from http://books.nips.cc/nips25.html and move it into the folder created in step 0

  3. Make sure you have ImageMagick: sudo apt-get install imagemagick

  4. Run pdftowordcloud.py (to generate top words for each paper. Output saved in topwords.p as pickle)

  5. Run pdftothumbs.py (to generate tiny thumbnails for all papers. Outputs saved in thumbs/ folder)

  6. Run scrape.py (to generate paperid, title, authors list by scraping NIPS .html page)

  7. Run makecorpus.py (to create allpapers.txt file that has all papers one per row)

  8. Run python lda.py -f allpapers.txt -k 7 --alpha=0.5 --beta=0.5 -i 100 . This will generate a pickle file called ldaphi.p that contains the LDA word distribution matrix. Thanks to this nice LDA code by shuyo! It requires nltk library and numpy. In this example we are using 7 categories. You would need to change the nipsnice_template.html file a bit if you wanted to try different number of categories.

  9. Generate the abstract files inside abstracts/ folder using getabstracts.py. Some user interaction may be necessary because of poorly formatted papers that make abstract extraction a pain. See script.

  10. Finally, run generatenicelda.py (to create the nipsnice.html page)

Licence

WTFPL licence

Something went wrong with that request. Please try again.