abhshkdz/papers
:paperclip: Summaries of papers on deep learning
This project helps machine learning researchers and practitioners stay current with advancements in deep learning. It provides concise summaries of important research papers, allowing you to quickly grasp the core ideas and contributions without reading the full paper. The resource takes academic papers on deep learning as input and produces easy-to-digest reviews.
572 stars. No commits in the last 6 months.
Use this if you need a quick overview of influential deep learning research papers to understand key concepts and recent progress.
Not ideal if you need a deep, critical analysis of research methodologies, experimental setups, or mathematical derivations, as these summaries focus on high-level understanding.
Stars
572
Forks
120
Language
—
License
—
Category
Last pushed
Oct 13, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/abhshkdz/papers"
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