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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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v. t. e. A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention Is All You Need". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1]
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.
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 ...
Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support Automatic differentiation Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache Spark Scala Scala, Python No No Yes Yes Yes Caffe
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)
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]