lancezpf/awesome-papers-awesome

This project is not a collection of research papers itself. It is a directory that points you to other GitHub repositories which collect research papers. Think of it as an index of indexes: instead of searching for paper lists one by one, you get a single organized map of the best ones across computer science. The repository sorts these paper-list repositories using a classification system based on the ACM Computing Classification System, with artificial intelligence treated as its own top level field rather than folded into general computing. Under that field sit topics like machine learning, generative AI, natural language processing, computer vision, robotics, and reinforcement learning, along with many non AI fields such as hardware, networks, security, and human computer interaction. As of this snapshot it lists 260 verified repositories spread across 390 category placements, 95 topics, and 14 fields. The whole page is presented in both English and Simplified Chinese. Each entry in the list is manually checked before inclusion. The maintainers require a repository to contain a real paper list, bibliography, or survey collection, not just a single paper implementation or a generic tool list. Entries are ranked by current GitHub star count, though the maintainers note that stars measure discovery, not quality. Forked and archived repositories are excluded, and near duplicate repository names are limited to cut down on mirrors and clones. For someone trying to get oriented in a research area, this is meant as a starting point: browse by field, click through to a promising paper list repository, and continue from there. Contribution guidelines and details on how the data is maintained are described later in the file. The full README is longer than what was shown.