Who is this for?
Researchers who want to explore an area of research and make sure they're not missing anything.
What is this?
This is a free, open source, BSD-licensed tool that allows you to build a library of papers that are relevant to your research and to easily explore the related work. Additional tools include search, a listing of often-referenced papers you may have missed, and a graphical visualization of the main researchers in your area and their co-author networks. Structured data is scraped using Microsoft Academic Search API.
Interesting, may I see a demo?
Sure, have a look here
(Chrome is fastest). This demo was seeded with a fixed library of some papers from Deep Learning literature. Here's another demo
library seeded with some 3D reconstruction work.
How can I get this and start building my own library?
Beta version is available here
. For now, the server and data are hosted locally and are composed of a few Python scripts and pickles, but eventually this could all be pushed into cloud.
I have awesome ideas for more features. Can I help?
Certainly, we welcome contributions on Github
You may also be interested in our Google Group
Andrej Karpathy is a Computer Science PhD student at Stanford who is upset about how difficult it is to explore academic literature. Find me on Twitter