papers-we-love/papers-we-love
Papers We Love
Papers We Love is a community and catalog of classic computer science papers for reading, discussion, and meetups.
Catalog projects marked with #papers. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 3 projects with a combined 213,357 GitHub stars. Main languages: Python, Shell.
Papers We Love is a community and catalog of classic computer science papers for reading, discussion, and meetups.
Annotated Deep Learning Papers is a collection of deep-learning paper implementations with explanations next to the code.
Deep Learning Papers Reading Roadmap is a route for reading key deep learning papers.