mental2008/awesome-papers
Here are my personal paper reading notes (including machine learning systems, AI infrastructure, and other interesting stuffs).
This is a curated collection of personal notes on academic papers, primarily focusing on machine learning systems and AI infrastructure. It provides structured summaries and lists of papers from major conferences, allowing researchers and engineers to quickly grasp key insights without reading every full paper. The target users are researchers, PhD students, and senior engineers working in AI and systems.
167 stars.
Use this if you are a researcher or engineer who needs to stay updated on cutting-edge academic papers in AI infrastructure, machine learning systems, and related computer science fields, but lack the time to read every paper in full.
Not ideal if you are looking for an exhaustive, community-contributed database of all academic papers or if your primary interest lies outside of machine learning systems and AI infrastructure.
Stars
167
Forks
9
Language
—
License
MIT
Category
Last pushed
Jan 27, 2026
Commits (30d)
0
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