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Index of /class/cs224n/slides NameLast modifiedSizeDescription Parent Directory - cs224n-2024-lecture17-human-centered-nlp.pdf2024-03-28 19:56 14M cs224n-2024-lecture18-deployment-and-efficiency.pdf2024-03-28 19:56 12M cs224n-2024-lecture19-open-problems.pdf2024-03-28 19:56 11M cs224n-spr2024-lecture01-wordvecs1.pdf2024-04-02 16:44 5.3M cs224n-spr2024-lecture02-wordvecs2.pdf2024-04-03 22:34 2.7M
CS25: Transformers United V4 Spring 2024 Apr. 4 - May 30 Description Interested in Transformers, the deep learning model that has taken the world by storm? Want to have intimate discussions with researchers? If so, this course is for you! It's not every day that you get to personally hear from and chat with the authors of the papers you read! Each week, we invite folks at the forefront of Transfor
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In July of 2021 I released the Second Edition of A Philosophy of Software Design. This edition is available on Amazon in both paperback and electronic form. There are only a few significant changes from the First Edition: There is a new chapter "Decide What Matters" that talks about how good software design is about separating what's important from what's not important and focusing on what's impor
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Logistics Lectures: are on Tuesday/Thursday 4:30 PM - 5:50 PM Pacific Time in NVIDIA Auditorium. The lectures will also be livestreamed on Canvas via Panopto. Lecture videos for enrolled students: are posted on Canvas (requires login) shortly after each lecture ends. Unfortunately, it is not possible to make these videos viewable by non-enrolled students. Publicly available lecture videos and vers
Data Models, Knowledge Acquisition, Inference and Applications Department of Computer Science, Stanford University, Spring 2021 Tuesdays 4:30-5:50 P.M. PDT and Thursdays 4:30-5:50 P.M. PDT Course Info Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a w
CS 253 Web Security Fall 2021 This course is a comprehensive overview of web security. The goal is to build an understanding of the most common web attacks and their countermeasures. Given the pervasive insecurity of the modern web landscape, there is a pressing need for programmers and system designers to improve their understanding of web security issues. We'll be covering the fundamentals as we
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Abstract: We present a novel approach that enables photo-realistic re-animation of portrait videos using only an input video. In contrast to existing approaches that are restricted to manipulations of facial expressions only, we are the first to transfer the full 3D head position, head rotation, face expression, eye gaze, and eye blinking from a source actor to a portrait video of a target actor.
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Foundations and Trends R � in Machine Learning Vol. 3, No. 1 (2010) 1–122 c � 2011 S. Boyd, N. Parikh, E. Chu, B. Peleato and J. Eckstein DOI: 10.1561/2200000016 Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers Stephen Boyd1 , Neal Parikh2 , Eric Chu3 Borja Peleato4 and Jonathan Eckstein5 1 Electrical Engineering Department, Stanford University,
Ward C. Krebs Family Professor of Political Science Stanford University | Senior Fellow at the Hoover Institution Caltech Rules* Caltech Rules represent advice to Ph.d. students and professors beginning their career. They represent “what you need to learn here that we don’t teach here,” namely, professional development. Two parts of my Caltech rules are available on my website. (1) This page conta
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares Stephen Boyd and Lieven Vandenberghe Cambridge University Press This book is used as the textbook for our own courses ENGR108 (Stanford) and EE133A (UCLA), where you will find additional related material. If you find an error not listed in our
1. Introduction Welcome to Pintos. Pintos is a simple operating system framework for the 80x86 architecture. It supports kernel threads, loading and running user programs, and a file system, but it implements all of these in a very simple way. In the Pintos projects, you and your project team will strengthen its support in all three of these areas. You will also add a virtual memory implementation
Syllabus Updated January 1, 0001 Topics Covered This course covers the following topics: Disks, File systems, I/O, Threads & Processes, Scheduling, Virtual Memory, Protection & Security, Interrupts, Concurrency & Synchronization. Assignments Assignment 0: Raspberry Pi Setup Assignment 1: Shell and Bootloader Assignment 2: SD Driver and FAT File System Assignment 3: Spawn Assignment 4: Multitasking
Welcome! CS 9 is a 1-unit course that acquaints you with the CS technical recruitment process. The instructors, who spent several years at Google as software engineers and interviewers, will cover the stages of the process - resumes, interviews, and more - and share from their firsthand experience. We'll also work through typical interview problems during the Thursday sessions. Enrollment Enrollme
This is a lab-based class with no explicit lectures. We will do two two-to-three hour labs each week. You should be able to complete almost all of the lab in one sitting. Assuming it's useful I will do some kind of optional discussion section on Fridays. By the end of the class you will have built your own simple, clean OS for the widely-used, ARM-based raspberry pi --- including interrupts, threa
CS349d: Cloud Computing Technology Instructor: Christos Kozyrakis TAs: Mark Zhao and Swapnil Gandhi Spring 2024, Mon/Wed 4:30 PM - 5:50 PM, 320-109 Office Hours: TBD The largest change in the computer industry over the past ten years has arguably been the emergence of cloud computing: organizations are increasingly moving their workloads to managed public clouds and using new, global-scale service
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Trevor Hastie is the John A. Overdeck Professor of Statistics at Stanford University. Prior to joining Stanford University, Professor Hastie worked at AT&T Bell Laboratories, where he helped develop the statistical modeling environment popular in the R computing system. Professor Hastie is known for his research in applied statistics, particularly in the fields of data mining, bioinformatics, and
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