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A community-curated directory of notable computer science papers with local chapters for discussion and learning.
A community-curated directory of notable computer science papers with local chapters for discussion and learning.
A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.
A curated list of awesome Generative Adversarial Network (GAN) applications and demonstrations across various domains.
A curated list of deep learning image classification papers and their code implementations since 2014.
A curated list of face-related algorithms, datasets, papers, and open-source libraries for computer vision research.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.