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Users reposted the software's source code across the internet in multiple formats. For example, users posted images on Twitter containing the whole youtube-dl source code encoded in different colors on each pixel. GitHub users also filed pull requests to GitHub's own repository of DMCA takedown notices that included youtube-dl source code.
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Minimum Description Length ( MDL) is a model selection principle where the shortest description of the data is the best model. MDL methods learn through a data compression perspective and are sometimes described as mathematical applications of Occam's razor. The MDL principle can be extended to other forms of inductive inference and learning ...
Stream ripping (also called stream recording) is the process of saving data streams to a file. The process is sometimes referred to as destreaming.. Stream ripping is most often referred in the context of saving audio or video from streaming media websites and services such as YouTube outside of the officially-provided means of offline playback (if any) using unsanctioned software and tools.
a compressed version of a 720p and usually sized at around 2–3 GB. Currently uncommon. Movie piracy sites such as RARBG and YTS has its own compressed versions of the movies released on these sites, tagged as 1080p. 720p. usually around 4–7 GB and is the most downloaded form of BDRip. m-1080p (or mini 1080p)
From the software culture of the 1950s to 1990s, public-domain (or PD) software were popular as original academic phenomena. This kind of freely distributed and shared "free software" combined the present-day classes of freeware, shareware, and free and open-source software, and was created in academia, by hobbyists, and hackers. [2]
GNU GPLv3 (but partly closed-source [2]) Website. www .jdownloader .org. JDownloader is a download manager, written in Java, which allows automatic download of groups of files from one-click hosting sites. JDownloader supports the use of premium accounts. [3] Some parts of the code are open-source. As a popular software tool used in Europe, in ...
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. [4] It is written in C++, with a Python interface. [5]