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youtube-dl is a free and open source software tool for downloading video and audio from YouTube [3] and over 1,000 other video hosting websites. [4] It is released under the Unlicense software license. [5] As of September 2021, youtube-dl is one of the most starred projects on GitHub, with over 100,000 stars. [6]
Freemake Video Downloader is a crippleware download manager for Microsoft Windows, developed by Ellora Assets Corporation. It is proprietary software that can download online video and audio. [2] [3] Both HTTP and HTTPS protocols are supported. Users must purchase a premium upgrade to remove Freemake branding on videos and unlock the ability to ...
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Live Transcribe is a smartphone application to get realtime captions developed by Google for the Android operating system. Development on the application began in partnership with Gallaudet University. [2]
The originator of the content, not the platform that hosts it, should also be ascertained before using the content as a source; unless it is a support or promotional video posted on an official YouTube channel (for instance, YouTube Rewind), or an original series specifically commissioned by YouTube itself, for example, YouTube does not ...
OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5] Upon its release, OpenAI acknowledged some of Sora's shortcomings, including its struggling to simulate complex physics, to understand causality , and to ...
Model selection - choosing which machine learning algorithm to use, often including multiple competing software implementations; Ensembling - a form of consensus where using multiple models often gives better results than any single model [6] Hyperparameter optimization of the learning algorithm and featurization Neural architecture search
A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .