Interested Reads
External reads
Save articles, papers, websites, courses, and pages you want to read later inside Codex.
GitHub - mawady/awesome-computer-vision-resources: A structured learning reference for computer vision: from image fundamentals to research frontiers
A structured learning reference for computer vision: from image fundamentals to research frontiers - mawady/awesome-computer-vision-resources
https://github.com/mawady/awesome-computer-vision-resources
Stanford Encyclopedia of Philosophy
https://plato.stanford.edu/
arXiv.org e-Print archive
https://arxiv.org/
MIT OpenCourseWare | Free Online Course Materials
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity
https://ocw.mit.edu/
Xiyang Hu | resources
A curated collection of high-quality resources for students and researchers. While many of these materials are written by computer science scholars (👏 to their open-source spirit), the insights are broadly applicable across disciplines.
https://xiyanghu.github.io/resources/
AI & ChatGPT Courses
https://www.linkedin.com/feed/update/urn:li:groupPost:6731624-7458105740260577280/?utm_source=social_share_send&utm_medium=ios_app&rcm=ACoAAAjAjYsBU8DxE_HE298uJ8uo6Z6DuXaH3bo
Vinija's Notes • CS224n: Natural Language Processing with Deep Learning
Vinija's detailed AI Notes
https://vinija.ai/nlp/
CME Stanford
https://stanford.edu/~shervine/teaching/cme-106/
Turing Test
https://developers.turing.com/dashboard/turing_test
LLM
https://www.notion.so/Transformers-LLMs-UCL-6ae7cd3c0c8b4835aa2e7d4372568714
Advanced NLP with Spacy
https://course.spacy.io/en/
Introduction to Algorithms | Electrical Engineering and Computer Science | MIT OpenCourseWare
This course is an introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. It emphasizes the relationship between algorithms and programming and introduces basic performance measures and analysis techniques for these problems.
https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/