papers-we-love/brasilia
Papers We ❤️ Brasilia
This project helps computer science professionals deepen their understanding of academic research papers. It serves as a local chapter for the "Papers We Love" community, providing a platform to discuss cutting-edge ideas in computing. Participants bring a paper or related code, and engage in discussions with fellow engineers, programmers, and scientists.
No commits in the last 6 months.
Use this if you are a computer science professional, engineer, or academic who wants to read, discuss, and learn more about academic computer science papers in a community setting.
Not ideal if you are looking for a standalone research tool or an automated way to summarize papers, as this is a community-driven discussion group.
Stars
7
Forks
2
Language
—
License
—
Category
Last pushed
Jun 22, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/papers-we-love/brasilia"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Vincentqyw/cv-arxiv-daily
🎓Automatically Update CV Papers Daily using Github Actions
gopala-kr/summary
summaries of all the papers I read
HFTrader/awesome-free-deep-learning-papers
Free deep learning papers
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
greenelab/deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine