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Victoria Steigerwald

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Aug 5, 2024, 12:05:44 PM8/5/24
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We study a subset of the movie collaboration network, , where only adult movies are included. We show that there are many benefits in using such a network, which can serve as a prototype for studying social interactions. We find that the strength of links, i.e., how many times two actors have collaborated with each other, is an important factor that can significantly influence the network topology. We see that when we link all actors in the same movie with each other, the network becomes small-world, lacking a proper modular structure. On the other hand, by imposing a threshold on the minimum number of links two actors should have to be in our studied subset, the network topology becomes naturally fractal. This occurs due to a large number of meaningless links, namely, links connecting actors that did not actually interact. We focus our analysis on the fractal and modular properties of this resulting network, and show that the renormalization group analysis can characterize the self-similar structure of these networks.


In this section, you will find the data loading implementations (using DataPipes) of variouspopular datasets across different research domains. Some of the examples are implements by the PyTorch team and theimplementation codes are maintained within PyTorch libraries. Others are created by members of the PyTorch community.


The Amazon reviews dataset contains reviews from Amazon. Its purpose is to train text/sentiment classification models.In our DataPipeimplementation of the dataset,we described every step with detailed comments to help you understand what each DataPipe is doing. We recommendhaving a look at this example.


This is a large movie review dataset for binary sentimentclassification containing 25,000 highly polar movie reviews for training and 25,00 for testing. Here is theDataPipe implementation to load the data.


SQuAD (Stanford Question Answering Dataset) is a dataset forreading comprehension. It consists of a list of questions by crowdworkers on a set of Wikipedia articles. Here are theDataPipe implementations for version 1.1is here and version 2.0.


In a separate PyTorch domain library TorchText, you will find some of the mostpopular datasets in the NLP field implemented as loadable datasets using DataPipes. You can findall of those NLP datasets here.


The Cambridge-driving Labeled Video Database (CamVid) is a collection of videos with object class semanticlabels, complete with metadata. The database provides ground truth labels that associate each pixel with one of 32semantic classes. Here is aDataPipe implementation of CamVidcreated by our community.


The laion2B-en-joined dataset is a subset of the LAION-5B dataset containing english captions, URls pointing to images,and other metadata. It contains around 2.32 billion entries.Currently (February 2023) around 86% of the URLs still point to valid images. Here is a DataPipe implementation of laion2B-en-joined that filters out unsafe images and images with watermarks and loads the images from the URLs.


In a separate PyTorch domain library TorchVision, you will find some of the mostpopular datasets in the computer vision field implemented as loadable datasets using DataPipes. You can find all ofthose vision datasets here.


Note that these implementations are currently in the prototype phase, but they should be fully supportedin the coming months. Nonetheless, they demonstrate the different ways DataPipes can be used for data loading.


The Criteo dataset contains feature valuesand click feedback for millions of display advertisements. It aims to benchmark algorithms forclick through rate (CTR) prediction. You can find a prototype stage implementation of thedataset with DataPipes in TorchRec.


TigerGraph is a scalable graph data platform for AI and ML. You can find an implementation of graph feature engineering and machine learning with DataPipes in TorchData and data stored in a TigerGraph database, which includes computing PageRank scores in-database, pulling graph data and features with multiple DataPipes, and training a neural network using graph features in PyTorch.


MoleculeNet is a benchmark specially designed for testing machine learning methods ofmolecular properties. You can find an implementation of theHIV dataset with DataPipes in PyTorch Geometric,which includes converting SMILES strings into molecular graph representations.


Here is an example which uses AISIO DataPipe for the Caltech-256 Object Category Dataset containing 256 object categories and a totalof 30607 images stored on an AIS bucket and the Microsoft COCO Dataset which has 330K images with over 200Klabels of more than 1.5 million object instances across 80 object categories stored on Google Cloud.


Copyright The Linux Foundation. The PyTorch Foundation is a project of The Linux Foundation. For web site terms of use, trademark policy and other policies applicable to The PyTorch Foundation please see www.linuxfoundation.org/policies/. The PyTorch Foundation supports the PyTorch open source project, which has been established as PyTorch Project a Series of LF Projects, LLC. For policies applicable to the PyTorch Project a Series of LF Projects, LLC, please see www.lfprojects.org/policies/.


This is a selective list of streaming video holdings in the American University Library. Streaming guides are created by doing multiple keyword searches in the library catalog to capture as many titles on a topic as possible. For complete up-to-date streaming holdings, please refer to our streaming catalog.


At the age of 9, Abraham Lincoln witnesses his mother being killed by a vampire, Jack Barts. Some 10 years later, he unsuccessfully tries to eliminate Barts but in the process makes the acquaintance of Henry Sturgess who teaches him how to fight and what is required to kill a vampire. The quid pro quo is that Abe will kill only those vampires that Henry directs him to. Abe relocates to Springfield where he gets a job as a store clerk while he studies the law and kills vampires by night. He also meets and eventually marries the pretty Mary Todd. Many years later as President of the United States, he comes to realize that vampires are fighting with the Confederate forces. As a result he mounts his own campaign to defeat them.


A team of civilian divers on a prototype underwater oil-drilling rig are pressed into service by the U.S. navy in a rescue effort for a sunken nuclear submarine. The mission involves an uneasy blend of wonder, discovery and conflict as the navy supervisor begins to have paranoid ideas about what is in the abyss.


When commercial towing vehicle Nostromo, heading back to Earth, intercepts an SoS signal from a nearby planet, the crew are under obligation to investigate. After a bad landing on the planet, some crew members leave the ship to explore the area. At the same time as they discover a hive colony of some unknown creature, the ship's computer deciphers the message to be a warning, not a call for help. When one of the eggs is disturbed, the crew do not know the danger they are in until it is too late.


An expedition of archaeologists on Earth discover an Aztec temple hidden under the Antarctic circle, housing a host of Alien creatures. A group of five coming-of-age Predators have also come to the temple, as it has long been a training ground for their race. From there on, it's Aliens vs. Predators, with the humans caught in the middle.


When a Predator scout ship crash lands in a Colorado town. The Aliens on board escape and kill all the Predators except one. The last remaining Predator must now destroy all the Aliens as well as the horfic Pred-Alien that was spawned in the first AVP. Meanwhile the towns people are helplessly caught in the middle of the ultimate face-off between these two mythic creatures.


Marvel's legendary comic hero known as the Man Without Fear comes to the big screen. Attorney Matt Murdock is blind, but his other four senses function with superhuman sharpness. By day, Murdock represents the downtrodden. At night, he is Daredevil, a masked vigilante stalking the dark streets of the city, a relentless avenger of justice.


Based upon Marvel Comics most unconventional anti-hero, DEADPOOL tells the origin story of former Special Forces operative turned mercenary Wade Wilson, who after being subjected to a rogue experiment that leaves him with accelerated healing powers, adopts the alter ego Deadpool. Armed with his new abilities and a dark, twisted sense of humor, Deadpool hunts down the man who nearly destroyed his life.


To Greg Heffley, middle school is the dumbest idea ever invented. It's a place rigged with hundreds of social landmines, not the least of which are morons, wedgies, swirlies, bullies, lunchtime banishment to the cafeteria floor - and a festering piece of cheese with nuclear cooties. To survive the never-ending ordeal and attain the recognition and status he feels he so richly deserves, Greg devises an endless series of can't-miss schemes, all of which, of course, go awry. And he's getting it all down on paper, via a diary - "it's NOT a diary, it's a journal!" Greg insists, preferring the less-sissyfied designation - filled with his opinions, thoughts, tales of family trials and tribulations, and (would-be) schoolyard triumphs. "One day when I'm famous," writes Greg, "I'll have better things to do than answer peoples' stupid questions all day." So was born the Wimpy Kid's diary.


First love is an intoxicating experience, but with it can come excruciating awkwardness, unrequited emotions, and confusing issues of identity. In her trademark playful style, Quebec cartoonist and animator Diane Obomsawin, a.k.a. Obom, adapts her latest graphic novel for the screen, using endearing anthropomorphic figures to tell poignant real-life stories of love.


When the Kingsman headquarters are destroyed and the world is held hostage, their journey leads them to the discovery of an allied spy organization in the US called Statesman, dating back to the day they were both founded. In a new adventure that tests their agents' strength and wits to the limit, these two elite secret organizations band together to defeat a ruthless common enemy, in order to save the world, something that's becoming a bit of a habit for Eggsy...

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