Showing 13 of 13 projects
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
A curated collection of links to conference publications, surveys, and software in graph-based deep learning.
A curated list of 100 foundational and influential papers in natural language processing for students and researchers.
A curated collection of research papers and resources on Vision Transformers (ViT) for computer vision tasks.
A curated list of academic papers, datasets, and resources for image and video deblurring research.
A curated collection of gradient boosting research papers with implementations from top machine learning conferences.
A curated list of 257+ research papers on video generation, representation learning, and related topics like reinforcement learning.
A Model Context Protocol server that provides AI assistants with structured scientific paper data including methods, results, and quality scores.
A curated list of academic papers on position-based quantum cryptography (PBQC), covering protocols, attacks, and connections to other fields.
A curated reading list spanning cognitive and computational studies of intuitive physics, serving as a startup library for beginners.
A curated list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis workflows.
An AI-powered web tool for automated full-text screening and data extraction from research papers to accelerate systematic reviews.
A local database of 284M+ scholarly works from OpenAlex with abstracts and semantic search for RAG and research assistants.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.