Academic Resources
Showing 22 of 22 projects
A curated list of awesome university courses with free online materials for learning computer science.
A curated reading roadmap of foundational and state-of-the-art deep learning papers for newcomers and researchers.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.
A curated list of research papers, datasets, and software projects for machine learning applied to source code (MLonCode).
A curated list of resources for constructing, analyzing, and visualizing network data across various disciplines.
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 deep learning image classification papers and their code implementations since 2014.
An open-source computational neuroscience course with tutorials, exercises, and interactive materials for students and researchers.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A curated list of academic papers, datasets, and resources for image and video deblurring research.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
A curated list of network embedding techniques, including papers, implementations, and related resources for graph representation learning.
A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.
A curated list of community detection research papers with implementations.
A curated collection of papers, code, and resources on neural rendering techniques for computer vision and graphics.
A curated list of academic papers and resources for image and video inpainting techniques.
A curated list of resources for adversarial machine learning, covering attacks, defenses, and research.
A curated collection of links for economists, covering studying, research, data, software, discussions, and career resources.
A curated reading list and syllabus for a Stanford discussion class on applied data science topics.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.