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headphones helps download, manage, or archive music, audio, podcasts, or karaoke media.
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audiobook-dl is a code project with source, releases, documentation, or setup notes.
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zotify helps download, manage, or archive music, audio, podcasts, or karaoke media.
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XMusicDownloader helps download, manage, or archive music, audio, podcasts, or karaoke media.
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TikTokDownloader helps download videos, streams, playlists, or media from supported video platforms.
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scdl helps download, manage, or archive music, audio, podcasts, or karaoke media.
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musescore-downloader helps download, manage, or archive music, audio, podcasts, or karaoke media.
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webtorrent-mpv-hook is a code project with source, releases, documentation, or setup notes.
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best way to save what you love
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streamrip helps download, manage, or archive music, audio, podcasts, or karaoke media.
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qobuz-dl helps download, manage, or archive music, audio, podcasts, or karaoke media.
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Radar / Sonarr DE Guide is a code project with source, releases, documentation, or setup notes.
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Videodl: A lightweight video downloader written in pure python. (轻量级视频下载器，优先高清无水印，支持抖音，快手，小红书，B站，TikTok，YouTube，FIFA+，优酷，腾讯，爱奇艺，1905电影网，乐视，芒果，咪咕，PPTV，搜狐，Facebook，Twitter，新浪微博，今日头条，网易公开课，全民K歌，CCTV央视频，酷狗音乐MV，新片场，知乎，百度贴吧，TED等海量流媒体平台)
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Nobook is a code project with source, releases, documentation, or setup notes.
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Materialbook is a code project with source, releases, documentation, or setup notes.
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The Book of Secret Knowledge is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.
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A library for efficient similarity search and clustering of dense vectors.
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Series of notebooks for learning scikit-learn.
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Examples and guides for using the OpenAI API.
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IPython notebooks for a complete course around understanding Nervana's Neon.
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A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
IPython notebooks from Data School's video tutorials on scikit-learn.
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Interactive notebook-based tool to visualize the forward pass of any PyTorch model.
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.