{"pages":{"search":{"query":"Papers in 100 Lines of Code","originalQuery":"Papers in 100 Lines of Code","serpid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","parentReqid":"","serpItems":[{"id":"11834115336142736857-0-0","type":"videoSnippet","props":{"videoId":"11834115336142736857"},"curPage":0},{"id":"1594205865534033685-0-1","type":"videoSnippet","props":{"videoId":"1594205865534033685"},"curPage":0},{"id":"9552960472160944296-0-2","type":"videoSnippet","props":{"videoId":"9552960472160944296"},"curPage":0},{"id":"1132737328642990979-0-3","type":"videoSnippet","props":{"videoId":"1132737328642990979"},"curPage":0},{"id":"R-I-113683-5-0-4","type":"direct","props":{"advRsyaActivateParams":{"pcodeParams":{"blockId":"","renderTo":"","pageNumber":4,"grab":"dFBhcGVycyBpbiAxMDAgTGluZXMgb2YgQ29kZQo=","statId":4,"darkTheme":false,"lazyLoad":false,"extParams":{"reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","ui":"desktop","yuid":"4594052781765343536"}}},"isAdult":false,"position":4,"placement":"empty"},"curPage":0},{"id":"2343614745901827860-0-5","type":"videoSnippet","props":{"videoId":"2343614745901827860"},"curPage":0},{"id":"16039984441589190284-0-6","type":"videoSnippet","props":{"videoId":"16039984441589190284"},"curPage":0},{"id":"3926365567939586742-0-7","type":"videoSnippet","props":{"videoId":"3926365567939586742"},"curPage":0},{"id":"6000210466739674287-0-8","type":"videoSnippet","props":{"videoId":"6000210466739674287"},"curPage":0},{"id":"9537717658638289085-0-9","type":"videoSnippet","props":{"videoId":"9537717658638289085"},"curPage":0},{"id":"154442638931149537-0-10","type":"videoSnippet","props":{"videoId":"154442638931149537"},"curPage":0},{"id":"R-I-113683-5-0-11","type":"direct","props":{"advRsyaActivateParams":{"pcodeParams":{"blockId":"","renderTo":"","pageNumber":11,"grab":"dFBhcGVycyBpbiAxMDAgTGluZXMgb2YgQ29kZQo=","statId":11,"darkTheme":false,"lazyLoad":false,"extParams":{"reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","ui":"desktop","yuid":"4594052781765343536"}}},"isAdult":false,"position":11,"placement":"empty"},"curPage":0},{"id":"13694062751257850311-0-12","type":"videoSnippet","props":{"videoId":"13694062751257850311"},"curPage":0},{"id":"9931981497227056626-0-13","type":"videoSnippet","props":{"videoId":"9931981497227056626"},"curPage":0},{"id":"61381596392521659-0-14","type":"videoSnippet","props":{"videoId":"61381596392521659"},"curPage":0},{"id":"16283170334374756564-0-15","type":"videoSnippet","props":{"videoId":"16283170334374756564"},"curPage":0},{"id":"17834018906545603278-0-16","type":"videoSnippet","props":{"videoId":"17834018906545603278"},"curPage":0},{"id":"995082966049420890-0-17","type":"videoSnippet","props":{"videoId":"995082966049420890"},"curPage":0},{"id":"9225444503168391858-0-18","type":"videoSnippet","props":{"videoId":"9225444503168391858"},"curPage":0},{"id":"16538697628099942979-0-19","type":"videoSnippet","props":{"videoId":"16538697628099942979"},"curPage":0}],"filters":{},"serpFooter":{"linksGroups":[{"type":"geo","links":[{"label":"Columbus","title":"Columbus","url":"//yandex.com.tr/tune/geo/","logNode":{"name":"region"},"target":"_self","a11yLabel":"Bölgeniz Columbus","needRetpath":true}]},{"type":"help","links":[{"label":"Bize ulaşın","url":"https://yandex.com.tr/support/video/troubleshooting.html","logNode":{"name":"feedback"},"needRetpath":true},{"label":"Yardım","url":"https://yandex.com.tr/support/video/","logNode":{"name":"help"},"needRetpath":true}]},{"type":"settings","links":[{"label":"Ayarlar","url":"https://yandex.com.tr/tune/search/","target":"_self","logNode":{"name":"settings"},"needRetpath":true}]},{"type":"company","links":[{"label":"Şirket hakkında","url":"//yandex.com.tr/company/","logNode":{"name":"about"},"target":"_blank"},{"label":"Kullanım lisansı","url":"//yandex.com.tr/legal/termsofuse/","logNode":{"name":"license"},"target":"_blank"},{"label":"Gizlilik Politikası","url":"//yandex.com.tr/legal/confidential/","logNode":{"name":"confidential"},"target":"_blank"}],"a11yHidden":true}],"hasExtralinks":true},"currentPage":0,"prevPageToLoad":-1,"nextPageToLoad":1,"isTranslationsFilterEnabled":false,"isTranslationsDistributionEnabled":false,"isTranslationsDistributionOnboardingEnabled":false,"isFeedbackModalVisible":false,"prevention":{},"hasNextPage":true,"rightSerpItems":[{"type":"direct","id":"search-list-right","props":{"advRsyaActivateParams":{"pcodeParams":{"blockId":"R-I-8843654-1","renderTo":"search-list-right-0-R-I-8843654-1","pageNumber":0,"grab":"dFBhcGVycyBpbiAxMDAgTGluZXMgb2YgQ29kZQo=","darkTheme":false,"lazyLoad":false,"extParams":{"reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","ui":"desktop","yuid":"4594052781765343536"}}},"isAdult":false,"position":0,"placement":"search-list-right"},"curPage":0}],"isAdultQuery":false,"errorList":[],"layout":"list","retpath":"https%3A%2F%2Fgs.yandex.com.tr%2Fvideo%2Fsearch%3Ftext%3DPapers%2Bin%2B100%2BLines%2Bof%2BCode"},"main":{"_isInitial":true,"snippets":[],"serpFooter":{"linksGroups":[]},"isLoggedIn":false,"tags":[]}},"internal":{"nonce":"6445085392776120757142","expFlags":{"video_settings_toolbar_redesign":1,"velocity_delay_drawer":1,"video_viewer_heartbeat_disabled_in_no_js_api":1,"video_search_toggle_with_text":1,"velocity_disable_suspense":1,"video_viewer_desktop_smart_layout":1,"dark_theme_desktop":"cookie","distr_splashscreen_on":1,"video_viewer_check_sandbox_origin":1,"video_font_yandex_sans":1,"video_adv_new_show_rules":1,"video_resource_loader":1,"video_adv_config_desktop":{"search-grid-inplace":{"adult":{"default":"R-I-474674-126","mail":"R-A-13426421-16"},"regular":{"default":"R-I-48058-742","mail":"R-A-13411721-16"}}},"video_nohost_full_filter_onboarding_enable":1,"video_vh_player_js":0,"video_masthead_ratio":"180,4","video_searchdata_scheme":1,"video_viewer_related_fail_error_screen":1,"velocity_delay_metrika":1,"video_viewer_channel_link_mode":2,"video_partner_label":1,"video_resource_loader_load_timeout":6000,"int_tr":1,"mmui_extended_escape_scheme":"searchdata.clips.0.authorname","tabs_order_version":"search,images,video,newstr,maps,translate,tr_ecom","spok":"id","video_suggest_use_serp":1,"video_search_grid_direct_repeat":6,"video_direct_config_desktop_search":"search-grid-row:R-I-48058-718:R-I-474674-109,search-grid-head:R-I-2120168-7","init_meta":{"enable-yabs-distr":1,"ask-user-purchase-history":1,"use-src-videoquickp":1,"enable-begemot":1,"enable_masthead":1,"use-src-videop":1,"use-src-videoquickp_misspell":1,"enable_blackbox_multisession":1,"begemot-enable-cancelled-misspell-rtmr":1,"enable_video_iron_fetcher":1,"use-related-only":1,"ask-yandex-io-devices":1,"use-images-device-setup":1,"use-src-imagesp":1,"images-apphost-collections-front":1,"enable_aab_apphost":1,"graph-is-video-search":1,"use-src-imagesp_misspell":1,"use-src-imagesultrap":1,"use-video-apphost-pre-templates":1,"use-src-videop_misspell":1,"use-video-apphost-post-templates":1,"use-src-imagesquickp":1,"enable_video_carousels":"1","restrict-max-docs":"1000","use-images-region-setup":1,"use-post-auto2":1,"use-images-settings-setup":1,"use-src-ugc_favorites":1,"video_vitrina_disable":"0","use-images-user-setup":1,"use-video-pre-search-data":1,"begemot-no-suggest-history":1},"video_depot_viewer_masthead_ssr_only":1,"video_blender":1,"video_search_grid_enable":0,"video_viewer_desktop_fix_d2d_scroll":1,"video_depot_viewer_legacy_counters":1,"video_search_grid_direct_start":3,"video_adv_new_show_rules_docs_count":1,"beauty_header_futuris_tab":9,"video_related_suggest_enable":1,"video_redirect_plug":2,"video_adv_grid_inplace":1,"distr_popup_on":1,"dark_theme_desktop_default_pref":"system","video_search_toggle_enable":1,"video_depot_viewer_related_adv_margin":400,"video_viewer_doc2doc_instant_load":1,"velocity_split_hydration":4,"video_duration_counter_new_format":1,"video_force_grid_on_premordie":1,"int_online_summarization_video_snippet":1,"video_morda_header_nav":1,"video_nohost_full_filter":1,"distr_pcode_off":1,"video_baobab_blockstat":1,"video_thumb_poster_full":1,"video_scrollpages":2,"video_serp_desktop_block_design":1,"video_nohost_youtube_filter":0,"video_viewer_host_link_mode":1},"slots":["1397829,0,84;1402154,0,34;1436971,0,85;1437713,0,45;1436156,0,92;1436026,0,6;1430180,0,23;1152685,0,59;1434897,0,3;1428502,0,14;1427312,0,9;1432560,0,88;15353,0,21;182558,0,84;1418769,0,67;1437707,0,68;1425772,0,83;1433732,0,84;1282205,0,5;1431679,0,36;1435887,0,76;1420341,0,26;1430507,0,62;120693,0,56;1404017,0,72;1432055,0,94;724556,0,26;724636,0,26;263460,0,14;255407,0,14;1432735,0,77;1422262,0,6;1357004,0,73;1433820,0,3;1145219,0,34;1435632,0,24;151171,0,49;126339,0,88;1281084,0,62;287509,0,8;1006737,0,80;912287,0,77"],"isYandexNet":false,"platform":"desktop","isEnLogo":true,"retpath":"https%3A%2F%2Fgs.yandex.com.tr%2Fvideo%2Fsearch%3Ftext%3DPapers%2Bin%2B100%2BLines%2Bof%2BCode","mordaUrl":"//yandex.com.tr/","videoSearchUrl":"https://gs.yandex.com.tr/video/search?text=Papers+in+100+Lines+of+Code","settingsUrl":"https://yandex.com.tr/tune/search/","helpUrl":"https://yandex.com.tr/support/video/","legalUrl":"//legal.yandex.com.tr/termsofuse/","feedbackUrl":"https://yandex.com.tr/support/video/troubleshooting.html","basename":"/video","currentPageName":"search","isYandexApp":false,"isYandexAppAndroid":false,"isYandexAppIos":false,"isAnyYaBro":false,"isAndroid":false,"isHamster":false,"serpid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","backUrl":"//ya.ru","url":"https://gs.yandex.com.tr/video/search?text=Papers+in+100+Lines+of+Code","isIntegrationTest":false,"isEndToEndTest":false,"shouldDropLogs":false,"seo":{"title":"Papers in 100 Lines of Code: 2 bin video Yandex'te bulundu","description":"\"Papers in 100 Lines of Code\" sorgusu için arama sonuçları Yandex'te","shareTitle":"Papers in 100 Lines of Code — Yandex video arama","keywords":"yandex video, video araması, çevrimiçi izle, dizi, film, müzik klipleri","hasPorno":0},"isEmbedded":false,"isPumpkin":false,"sessionCsrfToken":"yaf97aca62139d8434fc3d571c9ad74d1","reportFeedbackBaseProps":{"initEmail":"","metaFields":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","userTestids":"1397829,1402154,1436971,1437713,1436156,1436026,1430180,1152685,1434897,1428502,1427312,1432560,15353,182558,1418769,1437707,1425772,1433732,1282205,1431679,1435887,1420341,1430507,120693,1404017,1432055,724556,724636,263460,255407,1432735,1422262,1357004,1433820,1145219,1435632,151171,126339,1281084,287509,1006737,912287","queryText":"Papers in 100 Lines of Code","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","userRegionName":"","userRegionId":"function() {\n return this._region.id;\n }","yandexuid":"4594052781765343536","uid":"0","isChildAccount":false}},"userTestids":"191768,238743,246500,253288,265553,270072,277807,274239,294077,278842,331010,338398,378416,359879,415420,644350,652605,645301,679708,689693,690449,696466,696473,722746,740796,776165,771230,781521,790415,801982,851450,886706,883477,900639,931367,937268,969063,935488,945314,989988,982463,991363,990185,1015567,1011895,1035320,1033956,1035241,1036046,1087297,1060131,1071879,1078818,1077703,1116602,1045814,1131637,1144233,1151726,1156933,1174275,1173000,1167408,1202006,1194718,1221235,1228280,1239596,1227266,1226860,1246754,1276447,1289213,1316370,1313283,1321224,1300570,1320679,1352408,1342688,1344637,1341968,1345362,1343279,1367583,1336673,1348424,1382036,1391511,1384451,1402882,1407422,1417605,1424780,1429092,1441146,1299604","regionId":20815,"isYaRu":false,"shouldUnmountSearchPageInViewer":false,"videoGlobalContext":{"platform":"desktop","isPumpkin":false,"language":"tr","user_time":{"epoch":"1765343630","tz":"America/Louisville","to_iso":"2025-12-10T00:13:50-0500","__is_plain":1},"isHermione":false,"shouldStubImages":true,"enableVideoPreviewInHermione":false,"reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","isEmbedded":false,"shouldShowMainPageButtonInViewer":false,"shouldDisableWebp":false,"removeLinkPrefix":"/video","shouldUseHighresPreview":true,"shouldCutSnippetTitle":true,"shouldShowPlusBadge":true,"reportFeedbackBaseProps":{"initEmail":"","metaFields":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","userTestids":"1397829,1402154,1436971,1437713,1436156,1436026,1430180,1152685,1434897,1428502,1427312,1432560,15353,182558,1418769,1437707,1425772,1433732,1282205,1431679,1435887,1420341,1430507,120693,1404017,1432055,724556,724636,263460,255407,1432735,1422262,1357004,1433820,1145219,1435632,151171,126339,1281084,287509,1006737,912287","queryText":"Papers in 100 Lines of Code","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","userRegionName":"","userRegionId":"function() {\n return this._region.id;\n }","yandexuid":"4594052781765343536","uid":"0","isChildAccount":false}},"deviceDetect":{"OSFamily":"Unknown","isTV":0,"x64":0,"GoogleToolBarVersion":"","MultiTouch":0,"BrowserBase":"","YandexBarVersion":"","isTablet":0,"YandexBar":0,"hasWebOmni":0,"isTouch":0,"hasYandexCamera":0,"isMobile":0,"DeviceKeyboard":"","device":"desktop","TurboAppPlatformVersion":"","historySupport":0,"BrowserShellVersion":"","DeviceVendor":"","isBrowser":0,"hasFlash":0,"MailRuSputnikVersion":"","isSameSiteSupported":0,"BrowserBaseVersion":"","BrowserVersionRaw":"","hasWebVert":0,"DeviceId":"","error":"","MailRuAgent":0,"ScreenWidth":0,"inAppBrowser":0,"hasHTML5":0,"isEmulator":0,"J2ME":0,"MailRuAgentVersion":"","BrowserEngineVersionRaw":"537.36","isRobot":1,"__is_plain":1,"BrowserEngineVersion":"0537.0036","BrowserName":"Unknown","DeviceModel":"","BrowserEngine":"WebKit","DeviceName":"","OSVersionRaw":"","OSName":"","GoogleToolBar":0,"ScreenSize":"","isTurboApp":0,"MailRuSputnik":0,"YaBuildName":"","isWAP":0,"PreferMobile":0,"DesktopMode":0,"BrowserVersion":"","BitsPerPixel":0,"BrowserShell":"","YaGUI":"","isBeta":0,"OSVersion":"","ScreenHeight":0},"nonce":"6445085392776120757142","disableDoc2DocHostLink":false,"shouldHideChannelLink":false,"disableChannelLink":false,"enableSlowBufferingAlert":false,"enableSlowBufferingAlertDedup":false,"userConnectionRtt":151,"animated":false,"isDoc2DocScrollFix":true,"smartDesktopLayout":true,"enableVIImprovements":false,"isAdvDisabled":false,"shouldShowVideoPlaylistPane":false,"isVideoTranslationSupported":false,"isSummaryDisabled":false,"isSummaryOnlineEnabled":true,"shouldRenderBroSummaryApiContainer":false,"shouldDropLogs":false,"shouldUseBeacon":false,"hasAdBlock":false,"forceSlowBufferingAlert":false,"rknWarnHosts":[""],"relatedAdvRootMargin":400,"postInstreamScreenDuration":2000,"minVideoDurationForInstream":120,"isInstreamEnabledInTesting":false,"useSendBeacon":false,"isFinalHeartbeatDisabledInNoJsApi":true,"wildcard":false,"isAdvUnderPlayerRedesign":false,"disableEarlyEventsInD2d":false,"isDoc2DocInstantLoadEnabled":true,"disableEarlyEventsUnsubscribe":false,"showDebugRelatedURL":false,"shouldUseBetaErrorLogging":false,"shouldShowMetaUnderPlayer":false,"isVideoViewerMetaTitleHidden":false,"isStickyPlayerDisabled":false,"headerNoFavicon":false,"headerBranded":false,"shouldCensorSensitiveContent":false,"isAdvUnderPlayerTransparent":false,"isDoc2DocGridLayoutEnabled":false,"detailsRedesignEnabled":false,"detailsRedesignV2Enabled":false,"isIslandsDisabled":false,"isD2DEmptyLoadFixDisabled":false,"isRoundedPlayerEnabled":false,"isSettingsToolbarRedesign":true,"isDoc2DocEmptyRetryEnabled":false,"isAdvUnderPlayerWithBackdrop":false,"isTouchAdvWithBackdrop":false,"isDoc2DocErrorScreenEnabled":true,"isDoc2DocFeedbackKebabEnabled":false,"isCommentsEnabled":false,"isVideoMainButtonInitiallyCollapsed":false,"isAdvUnderPlayerWithInnerPadding":false},"shouldShowAdvId":false,"isAdultQuery":false,"isSensitivePage":false,"showSensitive":false,"shouldReplaceHref":false},"user":{"tld":"com.tr","isEuDomain":false,"login":"","passportId":"","isLoggedIn":false,"locationName":"Columbus","isFamily":false,"yandexuid":"4594052781765343536","ugcCsrfToken":"","family":1,"isChild":false},"config":{"skinMode":"system","skin":"light","version":"releases-frontend-video-v1.1729.0__491d2077c35fc53c28577367d9c4833c662b0670","isGridSupported":false,"advConfig":{"under-player":{"regular":{"default":"R-I-48058-725","mail":"R-A-13411721-6"},"adult":{"default":"R-I-474674-114","mail":"R-A-13426421-6"}},"under-player-lite":{"regular":{"default":"R-I-48058-728"},"adult":{"default":"R-I-474674-103"}},"under-player-old":{"regular":{"default":"R-I-48058-725","mail":"R-A-13411721-6"},"adult":{"default":"R-I-474674-114","mail":"R-A-13426421-6"}},"video-list":{"regular":{"default":"R-I-48058-708","mail":"R-A-13411721-2"},"adult":{"default":"R-I-474674-101","mail":"R-A-13426421-2"}},"search-list":{"regular":{"default":"R-I-48058-715","mail":"R-A-13411721-3"},"adult":{"default":"R-I-474674-108","mail":"R-A-13426421-3"}},"search-grid-row":{"regular":{"default":"R-I-48058-718","mail":"R-A-13411721-4"},"adult":{"default":"R-I-474674-109","mail":"R-A-13426421-4"}},"search-grid-head":{"regular":{"default":"R-I-2120168-7"}},"search-list-right":{"regular":{"default":"R-I-8843654-1"}},"before-player-old":{"regular":{"default":"R-I-2120168-1"}},"before-player":{"regular":{"default":"R-I-2120168-1"}},"search-grid-inplace":{"adult":{"default":"R-I-474674-126","mail":"R-A-13426421-16"},"regular":{"default":"R-I-48058-742","mail":"R-A-13411721-16"}}},"isSkinInitedOnClient":false},"counters":{"params":{"useBeacon":false,"clickHost":"gs.yandex.com.tr/clck","pid":197},"dict":{"viewer":"2921","user":"538","info":"1275","sources":"1500","select":"775","close":"486","open":"842","source":"186","link":"513","click":"882","tech":"690","player":"1242","change":"719","summary":"3410","init":"1309","item":"22","button":"440","shown":"3780","copy":"1276","text":"232","load":"1724","fallback":"2010","channel":"1345","hide":"1656","serp":"471","pager":"405","down":"601","up":"600","footer":"295","more":"75","page":"143","loaded":"1007","grid":"3223","support":"2458","client":"2989","layout":"54","list":"436","duration":"2136","within":"3247","on":"10","off":"11","host":"3052","supported":"3761","enable":"2396","disable":"2395","full":"318","video":"231","translation":"347","distrib":"316","onboarding":"2045","filters":"618","lang":"1144","advanced":"255","apply":"2461","reset":"3236","short":"142","toggle":"237","snippet":"254","icon":"1167","abuse":"1436","submit":"297","wizard":"358","incut":"1073","extralinks":"3557","show":"487","feedback":"296","out":"3218","popup":"1544","scroll":"768","retry":"3545","region":"287","help":"177","settings":"1137","recommendations":"2671","home":"1319","soo":"65","youtube":"624","google":"66","bing":"568"}},"clips":{"items":{"11834115336142736857":{"videoId":"11834115336142736857","docid":"34-9-7-ZCAE31BD19A1986A4","description":"Machine Learning: Implementation of the paper "Playing Atari with Deep Reinforcement Learning" in 100 lines of PyTorch code. Link to the paper: https://arxiv.org/abs/1312.5602 GitHub...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/2305045/8c6d5203abc157daae8ad51ac90ec04c/564x318_1"},"target":"_self","position":"0","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DUvElGVu0cvo","linkTemplate":"/video/preview/11834115336142736857?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"DQN in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=UvElGVu0cvo\",\"src\":\"serp\",\"rvb\":\"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_E7sIggQkAYAEKyqLARABGniBBgf5BAP9AOL9Cv8J_gH_DAD7-vYAAADlD_z4CP0BANr--wUA_v8AAQMH_P8AAAABCAL-8f4BABIVBQUFAAAACeb2-_0AAAAM-vcB_wEAAP0A9wcD_wAAEQQHEQAAAAD5BgEGBAEAAAEKDv8AAAAA9vIE_QAAAAAgAC0xgso7OBNACUhOUAIqcxAAGmD7EwAn8CMNzCo-5-fbFSEQy1vt3M0I_zXU_9orLOku-teKJiD_G-4C15gAAAAg_sX4AwDjfwvx2w3-K-XSut0VDXbPC9sTNEMI2__8yRnp4BxFbyAA99n7IH4AzjBbGyUgAC0YrxI7OBNACUhvUAIqrwYQDBqgBgAAQMEAADhCAACgQAAAkMIAABBCAAC4QQAAMEIAAKjBAADiwgAA2EEAAODAAADIwQAALMIAACjCAAC4QQAAwEAAAOBBAABgQQAAyMEAAADCAAAQQgAAuMEAABBCAABYQgAAAMAAAHDBAAAQQQAAwMAAAMhBAAAAwAAAJMIAAABBAAAgwQAA-EEAAFDBAAC4wQAAoEAAAK5CAACwQQAAWEIAANRCAAAAQAAAlEIAAJhBAAAgwQAAmMEAAEDAAACgQAAAHEIAAJBBAAAkwgAAsEEAAIjCAABkwgAAHEIAAJhBAADCwgAAwEAAAETCAAAYQgAATEIAAGjCAAAQQQAApMIAAMBBAACowgAAIEIAADTCAAAAAAAASMIAAI5CAAAsQgAAQEAAAHRCAACgQQAAuMEAADTCAAAcQgAAjkIAAOBBAADAwQAAwMAAAFxCAACgQAAAuEEAADBBAABwwQAAcEIAAIZCAADAwQAAEEEAAIxCAAB0wgAA-sIAALjBAAB4wgAA4MAAAOBAAAAAQAAAMMIAAGzCAAD4QQAAMMEAAAjCAADowQAAnEIAAJDBAABoQgAAGMIAADBBAACQQQAAYMEAADzCAADYQQAAMEEAAIBBAABQQQAAKMIAAOBBAACIQQAAQEEAACDCAAC4wQAAgEAAAEDBAACAQAAAgMEAAADBAABIwgAALMIAANjBAACoQQAA2MEAAFDBAAAQQQAALEIAAKDBAACgwQAAgMEAAFjCAACAvwAAIMIAAChCAADgQQAAPEIAAEDCAABMwgAA4EAAAGxCAADIQQAAQMAAAMDBAAAgQQAAfMIAAFxCAACAQAAAyEEAAGzCAAAYwgAAwEAAAMDAAADgQQAAsMEAAODAAABYwgAAoMAAAABCAAB4QgAAQMAAAHDBAACAvwAAoEIAALbCAABwwQAAJMIAAGBCAACIwQAAUMIAAIjBAACiQgAAEMIAAGDBAAA4wgAAgEAAALBBAAAAQQAAjMIAAFxCAACQwQAAMMEAALjBAABEwgAALEIAAAAAAABEwgAAIEEAAK7CAACAQAAAIMEAAIhBIAA4E0AJSHVQASqPAhAAGoACAABwPQAAiD0AAI4-AADoPQAAiL0AADQ-AABwvQAAW78AACe_AAC4PQAAmr4AADS-AAAwPQAApj4AABA9AABsvgAAgLsAAJg9AAD4PQAA3j4AAH8_AAAcvgAAmD0AABC9AAC4PQAAqL0AAPg9AADovQAAFL4AAHC9AAAcPgAAiD0AAIg9AABMvgAAgDsAAEy-AABQPQAAdL4AAIq-AACgPAAAHL4AAGw-AABUPgAAuL0AABy-AADIPQAAoj4AAOA8AADgvAAATL4AAOg9AAB0vgAATD4AADA9AACCvgAAqD0AAGc_AABEPgAALD4AABS-AABkPgAAVD4AAEw-AAAMviAAOBNACUh8UAEqjwIQARqAAgAAH78AADQ-AAAQvQAAR78AALi9AADovQAAiL0AABy-AACIvQAAyL0AAGS-AACAuwAA-L0AAPi9AADYPQAAoDwAAKK-AABVPwAAdD4AAKo-AACgvAAAmL0AAIi9AABAPAAAxr4AANq-AABUPgAAgLsAAOg9AABEvgAA-D0AAAw-AABwvQAAEL0AACQ-AABwvQAALD4AAAw-AADKvgAAyL0AAK6-AABMPgAAJL4AAEC8AADYPQAAcD0AAH-_AACyvgAAhj4AAFC9AAB8PgAAuL0AAFw-AACePgAAVD4AANg9AADgPAAAuj4AAHA9AACAOwAAXD4AAFw-AADYPQAAxr4gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=UvElGVu0cvo","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["11834115336142736857"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"1594205865534033685":{"videoId":"1594205865534033685","docid":"34-6-1-Z150B7172EAA51B55","description":"Representing images with Neural Networks. Implementation of the paper "Multiplicative Filter Networks" in 100 lines of PyTorch code. Link to the paper: https://openreview.net/forum?id=Omtm...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/3515251/6c7510d405c8b4c6dcb8cf72a6805c2b/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/eKGhQgIAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"1","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Do4_OYWxGrnk","linkTemplate":"/video/preview/1594205865534033685?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning Papers: Multiplicative Filter Networks in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=o4_OYWxGrnk\",\"src\":\"serp\",\"rvb\":\"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_sE_ADq_gYDCAL_AB71_Af1AgIA4gLv9gP8AgD4-v8FBQAAAA0G-wMCAAAA_vwL_fP-AQAYEPUIAwAAAAjy8vT-AAAAB_zv9wABAAAG6AgKA_8AAA4XCwEAAAAA_PEM_QAAAAAWAgkBAAAAAAAAAgcAAAAAIAAtObLHOzgTQAlITlACKoQCEAAa8AFkBQoA2dfpAc4FAADJFeL_gQAC_zISzADA2wIBv_fNAPD16QDg_w7_7iP2_50P8AHnBcz_CQf_AA_kFv_j-RkACP4AAB-9GgAtAgcA8AL0__AcGwAj1hIAItf2AQ3_5gD-6RT_7ALvA9z12AAO_jgBF-0MABsC7QLxHhf66RMOAvX78P_jHhL_2vEEBATyDAD8H9wELiPs__EXI_0xE_ML9_oMBugJBQIGF_gH8BoB9tYU-fn_BfkK7T0W-AscCPvSCQMDBdL_-BD--vkY9_gBAxQDBvnU9Q7qAPEM8O0ACM4FDfTqKgkA8AsF9PwGEfcgAC2_TyQ7OBNACUhhUAIqzwcQABrAB7fs2L5dd6k8sdTEvKn3FLxEJcO7dy7MvOOgub0cbYs8XgUjvNOjGT6oNng9YQn3upxNl77qPVy5ZI8WvMVVhT5UMG-9m38qvGLZLL5yAqo7w2QKvbSsG74rsIY9YvgDvTHsoL1pBPY8Y1QjPR0A8T311RW9-Z4xvZw5ATz2y467Ao5Su6NNvz31Abe8NFLGu-T7jT1n3O-8413kOiDrCT7Fbdm8qpk1vAN8FrvCVTy6raEZPRCrZLxD-ae8Nc3guskibT1FhNo7JTMoPOv7hb0-aEy9hzsRPOj-RTwUMRY9Gr39u4NDmDkBpPY8FtmCOnsyWj0iFla8XNslvK35Ab5UpZI8IdHfOx4ZOz5BpLo7qxBFvFDD173Eknc9a4zOOsUiAT0zueK800a7u5fmJj4l_Dc90ssDO0QU0zxH0ok8XxbJPBKrdT0QAWw9a4QzudGkXrxmrCw9915Xu2eCPD16Dbs93WxivIM5pb34k6c9BKmUvCvqALxzbkk8qFKNOT0UYD1rlvC85808PNbBxj0jlAi8daBaOzEFgD1BeP66Q-IivGMvnz0m_6M9uGI1vCKK6T39-ye9wf5rvJeL3bxs6wc9WCB2u8M-mz0TjzW9JSQSPA9IIr322HE8XRgiurP-IjxzdVG9VweAvI6Tkr1gLvO7hBEYu3hN_ryABfq8tMcPuwuosT3xw_e8mIz7ufFWTLxMEvC8NmOoOwsk6D2rAS-97MnTOd8AzrxilVw9GGvJOdScPD2zzJc9jLDOuMo0-j0Te828WYZhOIEKQj0P1RA8Yc0zuO8ZLjyp2UM9aTACOfy-BD1_adE8cUJuuAXT-rv4ToG9CfmRucMR5DzI6OW8YkYUuhxF8TzyeYW8dh8_uf7XOb1osh68q8lhuJI-rTxxG828sb9mOMiD4zx1DOM8vhzZt9TjCD1fPTO98WvLuN8xYTsXfsW99IpMN7tmbb2u4049sy4jt7qeCD0flSw8XjGYtwnfGz2Ejzc9XCn8uOKJKj1zVno9ZNmpNzywbT0k7Ys9wkavuHZTar1Xz8m9XDpquC7nkj0W4DY9JycWuW3F_r2i1D69Gi_0uNPjEr3xK4a9138OuYaqeD21IgC92i8DOLTI1r10Rr-93re9OJJdGT7ZT1C9rMI_ub2VAD30W0q9O0ZnuLIEAz2NlHO7o5Frt45EwzyUZ3495oOMNmEGeT3zOhK-S-epuCL_7D01KQU-835buBgnOb2UQ6U9ZZTHuJLXHLxrMyk8ll-rt1PCfT0j2Li8YZEXOCAAOBNACUhtUAEqcxAAGmAl_AAuBibb9xVa6P-71i3vyy7bJLoh_xDH_xor_eksHO6cLBf_F-Ek5J0AAAA26-gNBQDgeu-2AeTYLAa3quIXBX_rDzXyES_zxb4vGeoUBhoVVxYAHei1GXYcozpg_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-MEAAMDAAADAQQAAGEIAAIDBAAAkQgAAIEEAAHTCAAAAwAAASMIAAEDCAAAAQgAAUEEAACjCAAA8wgAAlkIAAPjBAAA8wgAAIMEAACBBAABAQAAADMIAAMBBAACQQgAA4MAAADDCAACkwgAAoMIAAEDAAAAcQgAA6MEAAODBAAA8QgAAgEAAAEBAAACYQQAAFMIAALDBAADAQAAAcEIAAAAAAABkwgAAgMIAACjCIAA4E0AJSHVQASqPAhAAGoACAAA8vgAAcD0AAFw-AAD4PQAA4LwAAIC7AADovQAAGb8AAPq-AABwPQAAZL4AABA9AACIvQAAXD4AAKi9AAAwvQAATD4AABC9AAA0PgAA0j4AAH8_AACgPAAA2D0AAOC8AADgvAAA2L0AAOA8AAAkvgAAED0AAHC9AABwPQAAmD0AAJg9AAAwvQAAJD4AABy-AADIPQAAbL4AANi9AAAMvgAAHL4AAPg9AACYPQAAuL0AAKC8AADgPAAAtj4AALi9AACgPAAAlr4AAFw-AAAcvgAAuD0AAHA9AAA8vgAAML0AADc_AAAEPgAA6D0AAFS-AABQvQAALD4AAFA9AAAUviAAOBNACUh8UAEqjwIQARqAAgAAzr4AAOg9AAA0vgAAK78AALi9AAAsvgAA4LwAAFC9AACovQAAmL0AAFy-AABAvAAAqr4AAES-AAAcPgAAgLsAAAS-AAA_PwAA6L0AAM4-AABwvQAARL4AAFS-AACIPQAAXL4AANi9AADgvAAA4LwAAHA9AABAPAAAqD0AAFA9AACgPAAAoLwAAGQ-AAAUPgAAiL0AAKA8AABMvgAAiD0AAHC9AABQPQAADL4AAEA8AAAMvgAAoLwAAH-_AACWvgAA6L0AAI6-AACIPQAAQLwAACw-AAAMPgAAuD0AAJg9AACAuwAApj4AAFC9AAAwPQAAoLwAAII-AAAsPgAAPL4gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=o4_OYWxGrnk","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":3456,"cheight":2160,"cratio":1.6,"dups":["1594205865534033685"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"9552960472160944296":{"videoId":"9552960472160944296","docid":"34-4-0-ZD5BC6B8D7558AD7B","description":"Implementation of the paper "Generative Adversarial Nets" in 100 lines of PyTorch code. Link to the paper: https://arxiv.org/abs/1406.2661 GitHub...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/1769439/1b5e962205175dbfe484a919600daedc/564x318_1"},"target":"_self","position":"2","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DKTaC1cMPGcQ","linkTemplate":"/video/preview/9552960472160944296?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Generative Adversarial Nets (GANs) in 100 lines of code | PyTorch","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=KTaC1cMPGcQ\",\"src\":\"serp\",\"rvb\":\"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-QQD_QDq-gkF_QIAAAwA7gH1__8A5Q_8-Aj9AQDy_AsJ-wAAAAsEB_j7AAAAAv799fL9AQAWBPMA9QAAAAn2BPj-AAAADQ_uAv8BAAD_9AQJBP8AAPsNCAL_AAAA-QYBBgQBAAAKBAkBAAAAAPToCPMAAAAAIAAtMYLKOzgTQAlITlACKnMQABpg7gwASPEJ8t__Fc4A4fL7D-MqDwTI-P8U1gDvLAjsFPzogQkZABQFAgeyAAAALeMAIdsA_F_-2PwD7SPz-L7iDitP3BDl8vdBB-r15PsK_AMQRDAQAMcTAgtO_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_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-AAC4PQAAjr4AAEG_AAD-vgAAgLsAAIK-AABQvQAAgLsAAJY-AACAuwAAmr4AAPg9AABQPQAALD4AAAs_AAB_PwAAED0AAHA9AADgvAAABD4AABy-AACgPAAATL4AAJg9AABAvAAAJD4AADC9AAAMPgAAur4AALg9AACgvAAAiD0AAKC8AAAkvgAARL4AAAy-AAAcPgAATD4AACy-AAC4vQAAFD4AAKI-AAAEvgAAmL0AAJK-AADgPAAAqr4AAK4-AACYvQAAhr4AAOA8AABzPwAATD4AAAQ-AAAsvgAAPD4AADw-AADIPQAAmL0gADgTQAlIfFABKo8CEAEagAIAAJ6-AAAUPgAAmD0AADe_AABUvgAATL4AACy-AABQPQAAJL4AAOg9AAD4vQAAQLwAAES-AACYvQAAMD0AAIA7AAAEvgAATT8AAIg9AACePgAAcL0AAIi9AACGvgAAUL0AAJa-AACCvgAALD4AAIA7AAAEPgAABD4AAIg9AAC4PQAAyL0AAEA8AAA8PgAAFD4AAOg9AAC4PQAAqr4AANi9AAB8vgAA-D0AAJ6-AAC4PQAA2L0AALg9AAB_vwAAFL4AABA9AABcvgAA4DwAAOA8AAAsPgAAdD4AAOg9AACoPQAAcD0AAK4-AACIPQAAoLwAAIg9AAAMPgAAND4AAI6-IAA4E0AJSHxQATAJOAFKAGAAaAA,\"}","related_url":"http://www.youtube.com/watch?v=KTaC1cMPGcQ","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["9552960472160944296"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"1132737328642990979":{"videoId":"1132737328642990979","docid":"34-4-11-Z10CC86D83C55E618","description":"This AI Destroys Breakout Using Deep Reinforcement Learning Machine Learning: Implementation of the paper "Human-level control through deep reinforcement learning" in 100 lines of PyTorch co...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/4566375/2f1d36232beff7077cd39bd10d7c3962/564x318_1"},"target":"_self","position":"3","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DatqneVERSMg","linkTemplate":"/video/preview/1132737328642990979?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"DQN with Target Network in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=atqneVERSMg\",\"src\":\"serp\",\"rvb\":\"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-w4I9wDhAPwDCv8B_xL28vb1AAAA4ALu9gP8AgDlBfkHCv8AABEBAPoFAAAAAQkC_vD-AQAPA_cSAwAAABPm-wf_AAAA_f3qAAABAAAB-vwRBP8A_xIECBIAAAAABQsG_wAAAAD-Axn6AAAAAPviC_4AAAAAIAAt7vC9OzgTQAlITlACKnMQABpgCA8AO-kdAsIWKdMVytb3ENRb_ei53_8Dyv_ZDg_rFu76hiMh_0IVAfSgAAAAFQfqDQEA53kguNwb9SvewbPnDD5_wg_sIjc34cbyFPAa6RYDJVcqAOLwAh5g7uQ4UR_-IAAtK2kXOzgTQAlIb1ACKq8GEAwaoAYAAAAAAADAQQAAMEEAAHjCAADoQQAAqEEAAAxCAADgwAAAysIAAKBBAABgwQAAAMEAADzCAAAYwgAAWEIAAEBAAABQQQAAAMEAANDBAAAQwgAA6EEAAMDBAABwQQAA-EEAAABBAAAAwAAAgL8AAKDAAAAYQgAAEMEAADjCAACAQAAAEMIAAFhCAACAQAAAUMEAAJjBAADgQgAAgD8AAPhBAAC2QgAAAEEAAIRCAABQQQAAoEAAAHjCAAAAAAAAAMEAANBBAACwQQAA0MEAANhBAAAowgAANMIAADRCAAAEQgAA1MIAAEDBAAAcwgAAhEIAAGRCAABYwgAAAMEAAJjCAAAcQgAAnsIAABxCAAAYwgAAgEAAAETCAACoQgAAfEIAAIDAAACkQgAAcEEAABTCAAAEwgAAHEIAAJJCAADQQQAA8MEAAABAAADwQQAA0EEAAFBBAADAQAAAAEAAAFxCAABIQgAAuMEAAABAAAA4QgAAjMIAAPbCAAAAwQAAhsIAAIBAAACAQQAAqEEAACzCAAB4wgAACEIAAMBAAAAEwgAA2MEAAGhCAACgwQAAaEIAADjCAABAQAAAqEEAAIjBAABIwgAAAEEAAFBBAADAQQAAgL8AAHTCAADYQQAAcEEAAMDAAABIwgAACMIAACDBAAAAQAAAIEEAALjBAACgwQAAhMIAAEzCAADYwQAAMEEAAPDBAAAgQQAAUMEAAExCAABAQAAAiMEAAOjBAACgwgAAAMAAALjBAAAUQgAAqEEAAEBCAABEwgAAbMIAACBBAABUQgAAAAAAAEDAAACAPwAAmEEAAGDCAAA0QgAAgEAAACBBAACmwgAAQMIAAOBAAABAQAAAAEIAAHDBAABQwQAAZMIAAJDBAACoQQAAhkIAAMBAAABAwAAAOMIAAKZCAACcwgAAgMAAAGTCAADgQQAAMMIAAFjCAAAgQQAAgEIAAKDBAAAAwQAAPMIAAADBAABoQgAAQEAAAIbCAAAUQgAAkMEAAAAAAABwwQAAOMIAADhCAABgwQAA6MEAAKhBAACewgAAYEEAANDBAACAwCAAOBNACUh1UAEqjwIQABqAAgAAQLwAAIA7AACOPgAAuD0AAKi9AAAEPgAA4DwAABO_AADuvgAAoLwAAIq-AAAUvgAAiD0AACw-AACAuwAAFL4AAOg9AAAwPQAAND4AAJ4-AAB_PwAAJD4AAPg9AACoPQAAqD0AAPg9AACgPAAAgLsAAIA7AABwPQAAyD0AAKC8AABwPQAA-L0AANi9AAAwPQAAUD0AAGy-AABsvgAAiL0AACy-AABkPgAAbD4AAEC8AAAQvQAAJD4AAFw-AACAOwAAQDwAANi9AAB0PgAAqL0AAIY-AABQPQAALL4AAIA7AAAhPwAA6D0AAJg9AABwvQAAcD0AAPg9AABMPgAAyL0gADgTQAlIfFABKo8CEAEagAIAABe_AADYPQAAcL0AAEW_AAAMvgAAXL4AAKi9AACovQAAgDsAAGS-AAAcvgAAEL0AAGy-AABUvgAAHD4AAFA9AADovQAART8AAHw-AACqPgAAQDwAAPi9AABQvQAA6L0AAIK-AABAPAAA4DwAAFC9AAAMPgAAcL0AAIg9AACYPQAAED0AADS-AACSPgAAuD0AAOA8AACAOwAAfL4AADC9AACovQAAZD4AAMi9AABwPQAA2L0AADC9AAB_vwAA9r4AAIA7AACgPAAAZD4AAKC8AAAcPgAAfD4AAKI-AACgPAAAEL0AAGQ-AAAEvgAADL4AABw-AACGPgAAPD4AAJa-IAA4E0AJSHxQATAJOAFKAGAAaAA,\"}","related_url":"http://www.youtube.com/watch?v=atqneVERSMg","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["1132737328642990979"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"2343614745901827860":{"videoId":"2343614745901827860","docid":"34-10-8-Z3188CFA1B077BC3B","description":"Machine Learning: Implementation of the paper "Conditional Generative Adversarial Nets" in 100 lines of PyTorch code. Link to the paper: https://arxiv.org/abs/1411.1784 GitHub...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/2426834/d278947ffa904a4ab00b44999b82cd3a/564x318_1"},"target":"_self","position":"5","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DHzFdOXOOORU","linkTemplate":"/video/preview/2343614745901827860?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning | Conditional Generative Adversarial Nets in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=HzFdOXOOORU\",\"src\":\"serp\",\"rvb\":\"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_QkE_ADp-hX8_AABAAQAAAL4__4A5A_8-Aj9AQD2ARQBAQAAAA4FBAcDAAAAAgHx8v3-AQAAD_IKAwAAAAfz_PsEAAAAAgz3Bv4BAAD48A4JBP8AABMKCQH_AAAA-wQE_QAAAAAGDQf8AAAAAAv8DfUAAAAAIAAtS-THOzgTQAlITlACKnMQABpg3xYAUBcS39H6JsL14vEVD8xu7hPC_P8d2f_6QfbLGRbOgQVHAAzwEQmbAAAAQ9vfFsMA238Bsff1AAnGxsLKCRtwwA_J8wJWE_bs2yMg3AooPFEmANcfCxRwB-QxMAIzIAAtPbQPOzgTQAlIb1ACKq8GEAwaoAYAAIDBAADQQQAAoEAAALDBAAAIQgAAgEAAAPhBAAAAQgAAcMIAAOBAAACmQgAAgL8AALbCAABQwQAABEIAAJLCAAB4wgAA2MEAAADBAAAAwQAAYEEAAGDCAACQwQAABMIAAODBAACYwQAAtsIAAKBAAAAAQAAAMEEAAKDBAABAwAAAkMIAAPBBAAAwwQAAfMIAADTCAACyQgAAUEEAAPhBAAAAQQAAJMIAACBCAACAwAAAoEEAAETCAAAMQgAATMIAACRCAAAQwgAAgMAAAKDBAACYQQAAgMAAAIhBAAAwwQAAyMIAAIBAAABAwQAAFEIAABRCAABkQgAAiEEAAGTCAAAQQQAAgEAAADhCAADAQQAA8EEAAFDBAACIQQAAMEIAABTCAABwQQAAgL8AALLCAACAPwAAAMEAABBCAACQwQAA0MEAAHBCAAAEQgAAEMEAAABAAABAQQAA0EEAACRCAACCQgAArkIAAJjBAAAkQgAAOMIAAGjCAACAwAAAlMIAAODBAAB0QgAAhEIAAEjCAAAAQAAA0EEAAKBAAACAwAAAdMIAABBCAAAgwgAAwMAAAMBAAAAcQgAAPEIAAJjBAACYwgAAqMEAANBCAADgwAAAAEEAAK7CAADIQQAAiEEAAADBAAAAQQAAMMEAAI7CAAA0QgAAjEIAAABBAADwwQAAaMIAAOjBAAAQQQAAQEIAAAzCAAC0QgAAZEIAANDBAAAQwQAAgEEAADjCAADwwQAA2EEAAEBBAADAwAAAMEIAAMxCAADAwQAAAMIAABjCAACgQAAAqEEAAHDBAADowQAAwMEAAJbCAAAQQQAAsMEAABDCAABAwQAA4MEAANBBAAAIwgAA-EEAAKDBAACYwQAAAEAAAGzCAAAUQgAAJEIAACBCAACQQgAAtsIAANBBAAAAQAAA8MEAAIjCAADgQQAAUMIAALjBAADAwAAAdEIAABTCAADQwQAAAMAAAPjBAADQwQAAuMEAACDCAACSQgAAHEIAAMBAAAAAQAAAkMEAACTCAADoQQAAQEAAACRCAACAPwAA6EEAAJrCAAAwwSAAOBNACUh1UAEqjwIQABqAAgAARL4AAFC9AAAkPgAA6D0AADA9AAC4PQAA6L0AAC-_AAAZvwAAoLwAAI6-AAAkvgAAiD0AAHQ-AAC4vQAAFL4AAMg9AABAPAAAVD4AAB8_AAB_PwAAQDwAADA9AACYvQAAND4AAEC8AACYPQAAVL4AAMg9AAAwPQAALD4AAHC9AAAwPQAAVL4AAJg9AACgvAAAgDsAAPi9AAB0vgAADL4AAIa-AAA0PgAAkj4AACy-AAC4vQAAbD4AAOY-AAAEvgAAUD0AAFy-AAAwvQAAsr4AAJo-AABQPQAAkr4AAKC8AABPPwAA2D0AANg9AAAQvQAAMD0AAJI-AACIPQAAqL0gADgTQAlIfFABKo8CEAEagAIAAMa-AAA0PgAAPD4AAB2_AACgvAAAPL4AAIi9AACIvQAA2L0AANg9AAAcvgAAmL0AACS-AABcvgAADD4AAIA7AACAuwAASz8AACQ-AACmPgAAiL0AAOA8AAA8vgAAED0AAGS-AAA8vgAA2D0AAFA9AACAOwAAiD0AAHA9AAAkPgAAML0AABA9AABkPgAA2D0AAEQ-AAC4PQAAtr4AAOA8AABsvgAA-D0AAIq-AACIPQAAyL0AABA9AAB_vwAAVL4AAIi9AAAsvgAAiD0AAFC9AAD4PQAAJD4AADQ-AAC4PQAAUD0AAEw-AAAwvQAAcD0AAIA7AAD4PQAAJD4AAAy-IAA4E0AJSHxQATAJOAFKAGAAaAA,\"}","related_url":"http://www.youtube.com/watch?v=HzFdOXOOORU","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["2343614745901827860"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"16039984441589190284":{"videoId":"16039984441589190284","docid":"34-7-14-Z2774A55A59F741C2","description":"Machine Learning: Implementation of the paper "Adam: A Method For Stochastic Optimization" in 100 lines of PyTorch code. GitHub: https://github.com/MaximeVandegar/Pap... Link to the paper....","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/3946463/833f46316d56dee2d840e64afda593bb/564x318_1"},"target":"_self","position":"6","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DGyCGtzoCiQY","linkTemplate":"/video/preview/16039984441589190284?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning: ADAM in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=GyCGtzoCiQY\",\"src\":\"serp\",\"rvb\":\"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_E_0CggQkAYAEKyqLARABGniB-wPzBwAAAPH6EgUGBP4B-_b9Bvr9_QDmDv34CP0BAPH69fr_AAAAAgAP__sAAAADAfkF8v4BAAoR_QwEAAAADfn4_P4AAAAD-v0B_gEAAPzu_Q4E_wAACA8CCwAAAAALCAP5_v8AAA0HEvwAAAAADvcG-wABAAAgAC2aTNQ7OBNACUhOUAIqcxAAGmDYEgAkARTh4wgW6ujoBiH95jnT-9P-ACTiAO43BNQaA9mw-hIADt4V_LYAAAAZ-s8DFQDiVCDp8wMD9-nY7fP35H8BG-cIVyYL8fcJ9SX01ikeWy0AJP4m907-zSMoBBYgAC2nDT87OBNACUhvUAIqrwYQDBqgBgAAyMEAAIZCAADIQQAAAEAAADBBAABgQgAAeEIAAFDBAABwwgAAAMAAAFxCAAC4wQAAUMEAAODAAAAIQgAAyMEAAADBAAAgwQAAFMIAAPDBAABQQQAA0MEAAIbCAADIQQAAIMEAANDBAACQwQAAwEAAAFhCAABAwAAAMMIAAABAAACiwgAAXEIAAMBAAACEwgAACEIAAADBAACwQQAA4kIAAMhBAACwwgAA4EEAAGDCAACowQAAMMEAADxCAAAEQgAAoEEAAKBAAADYwgAAYEEAAFBBAAAswgAAKEIAABhCAACMwgAA8MEAABDBAADgwAAAIEIAALDBAAA8wgAACMIAADBBAAAEwgAAoEAAAGDBAADIQQAA-MEAABxCAAAAQAAAoEAAAIhBAACgQAAAAEEAAHjCAADgQQAANEIAANBBAADwwQAAxEIAAIDAAABgQQAAyEEAACBBAABAQAAAcEEAADxCAABAQAAAAEIAAIhCAABQwQAAJMIAADzCAADYQQAAOMIAACzCAADAQAAAsMEAABDCAACEQgAAKEIAAABCAACAwgAAOEIAADDCAAAwwQAADMIAAERCAACAQQAAQMAAAKDAAABQQgAAAAAAADBCAACAQAAA2EEAAGxCAAAAwgAAgEEAALDCAAAAQgAAcMIAAJBBAACAvwAANEIAAJBBAABYwgAA4EEAAFzCAACAwQAANEIAAIA_AACAQQAACEIAAAjCAAD4wQAAiMEAAOjBAACAvwAAwMAAADBBAAAAAAAAjEIAAJhBAACwwQAASEIAAKBAAAB8wgAAEEEAALBBAAAwwQAAQMIAABTCAAB8wgAAgEAAAADAAABAwAAAIEEAALBBAADIQQAARMIAACBCAACgQQAAYMIAAEBBAAAoQgAA0EEAAMBAAADgwAAAVEIAAMhBAAAgwQAAgMAAAFBCAACOQgAAJMIAADDBAAD-QgAA9MIAAILCAACAQAAA4MAAADBCAAAcQgAAKMIAAJxCAACAQQAAIEEAAEhCAABgwgAAAEEAAGDBAACIwgAAOEIAAFzCAAAAAAAABEIAABBBIAA4E0AJSHVQASqPAhAAGoACAAAUvgAAyL0AAGw-AAA8PgAAmL0AAHA9AABAvAAAHb8AABW_AADgvAAAjr4AAES-AACgPAAAhj4AAKC8AAAcvgAAEL0AABA9AAB8PgAApj4AAH8_AACgvAAAED0AAKC8AACAOwAA6L0AACw-AABMvgAAoLwAABC9AAAEPgAA2D0AAFA9AAAQvQAAPD4AABC9AABwPQAAfL4AAFy-AAAwPQAAhr4AABw-AAAMPgAABL4AAHC9AAAwPQAAqj4AAKg9AAAQPQAAHL4AAPg9AAA0vgAA-D0AAEC8AAA0vgAAQLwAACk_AABMPgAADD4AAIA7AADYPQAAbD4AAPg9AAAwvSAAOBNACUh8UAEqjwIQARqAAgAAzr4AAFC9AAC4PQAAHb8AAHC9AABAvAAAor4AACw-AAAsvgAADL4AAMq-AAD4vQAA-L0AADS-AAAsPgAAgDsAAFC9AABhPwAAjj4AAJY-AADoPQAAQDwAAKC8AAAsPgAAlr4AAL6-AAAUPgAAMD0AACw-AAAQvQAAmD0AAOg9AADoPQAA4DwAAIo-AADgPAAAdD4AAAw-AAC6vgAADD4AAES-AADYPQAA-L0AAIi9AAD4PQAAiD0AAH-_AAD4vQAAuD0AACy-AAAwPQAARL4AAIg9AACePgAAkj4AAAw-AAC4PQAAtj4AAIC7AAAsPgAA6D0AADw-AADgPAAAbL4gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=GyCGtzoCiQY","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["16039984441589190284"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"3926365567939586742":{"videoId":"3926365567939586742","docid":"34-4-6-Z1A4F61DA5CB9D2DD","description":"#Research #Python #VAEs #MachineLearning Implementation of the Auto-Encoding Variational Bayes paper in 100 lines of code. Paper Link: https://arxiv.org/abs/1312.6114 Github Link...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/3070536/651162bb7e5e0e84cf314ef935a6be6b/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/4FnkeAEAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"7","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DjvDFn0qPCM0","linkTemplate":"/video/preview/3926365567939586742?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning to generate human faces — Auto-Encoding Variational Bayes in 100 lines of code.","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=jvDFn0qPCM0\",\"src\":\"serp\",\"rvb\":\"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-gb8BQDt-gf7BAAAAP0B9Ab4_f0A7gT8-AUAAAD19wP_-AAAAAQCCAUCAAAA9gED_PT_AQAMBvUDAwAAAAf__vn-AAAADQDuAf8BAAD1-AcCAwAAABMEEgIAAAAAB_0B_Pn-AAEBAgkAAAAAAAnwAf4AAQAAIAAtwVrgOzgTQAlITlACKoQCEAAa8AFqK-79FMIKBKUhx_6-Gtv_gfoR_zH2-QHRBvYCy9jpAM735ADr6isA7QXwAIcS7QHK_u0ACwn_AAvzJv8f4jEA_CXfADTTLAI18_kA1hff_-0iIQA49S0BKs70AQX98QAc6_f-0uDHAcvn5gD-BTEAJef-AhUFBwjWKCIH6jMJ_vfp__7dJRX-quwX_AwLB_78JtQFQQrUAO0cK_0ZF-sE_egpBd8B-v30ChIMy_oI-eAD7Af_BvgMxg4kAwooKPj0EiMD-uLd6QckCe4rF-D78x4CDQrt9AgO2PgH4vL79Nf4Ee_EJhII7A0G8vcM9vAgAC3G_QY7OBNACUhhUAIqcxAAGmALAAA2-hDP4QI04f7YBTL48B7RHMoj_wPm_-43Bt8FFuOBCR7_FO0eDaYAAAA09dcJ7gDubinK2BO1KvO_xt0V1HLR8AjkIQv9wcYWHAv29jQ1O0YAK_DWGzn2xCk81iwgAC1N8iE7OBNACUhvUAIqrwYQDBqgBgAAsMEAAAxCAABQQgAAkMEAAAxCAADoQQAArkIAADDCAADKwgAAAMAAACBBAAAsQgAAbMIAAFDBAACgQAAAgMIAABhCAAA8wgAA4EEAAHDCAACgQQAAWMIAAIC_AACQQQAADEIAAAxCAACwwQAA2EEAAIDAAACYQQAAlsIAANBBAACcwgAAAAAAAJjBAABkwgAAREIAANhBAADYQQAApEIAANDBAABgwQAA4EAAACRCAAAAwAAABMIAABhCAABAQgAAdEIAAMBAAAAAwQAAFMIAADTCAAAQQgAA4MAAABBBAADewgAALMIAAOhBAABYQgAAcEIAAADCAAD4QQAAQMIAAMhBAACQQQAAkEEAAIDAAACgQQAAsMEAAAhCAACYQQAAgMEAAOhBAACQQQAAiEEAAETCAAAoQgAAAEAAABBBAABUwgAAkEIAAETCAACgwAAAXEIAACTCAACgwQAAuEEAALhCAABwwQAAwEAAAMpCAADAQAAA4MEAAAxCAADowQAAUMIAAEjCAAAYQgAA4EEAABDBAACwQQAAREIAADDBAACywgAAfEIAACDCAACwwQAA4EAAAABCAAA8QgAAwMAAAEBAAAC2QgAAFMIAAIC_AAAAQgAAmMEAAATCAABAwgAAAMAAAGTCAABQQQAAjMIAAIzCAADIQQAALEIAAOBAAAAEwgAAfEIAAKhBAAAAwQAAAMIAAIhBAABAQgAA0EEAAOBBAAAQwQAAqEEAAGzCAAAQwQAA4MAAACBBAABQwQAAaEIAAEBAAACQwQAAUMEAAODAAADgQQAAQMAAABBBAACIQQAAmMIAACRCAAAcwgAAoMEAABjCAADAwAAAUEEAADDBAACIQgAAcMEAAIA_AADgQAAA-MEAABDCAABAQQAAAEIAAPBBAADAQQAAtEIAAJhBAAAgwgAAcMEAAChCAACAQgAAsEEAABTCAADAQgAAqMIAAPjBAABQwgAAKMIAAAxCAABcQgAAMMEAABDBAAA4QgAAcEEAAChCAADAwAAAqMEAAKDBAAAQQQAAMEIAAIhBAACAwQAAlMIAADDBIAA4E0AJSHVQASqPAhAAGoACAACgvAAABD4AAIo-AAAMPgAAMD0AAAw-AACgvAAAKb8AANq-AAAQvQAAyL0AAKi9AACAOwAARD4AAHC9AAB8vgAAED0AAFA9AABQPQAA0j4AAH8_AAD4PQAAuL0AAIg9AAAQPQAAQLwAAHA9AADYvQAAcL0AAIA7AADYPQAAcL0AAIC7AAAMvgAAED0AAIC7AAA0PgAAVL4AAJ6-AAC4vQAATL4AAII-AADoPQAAgDsAAKA8AAB8PgAA2j4AAKA8AABQPQAAdL4AAIg9AAD4vQAAZD4AAHQ-AACCvgAAQLwAACE_AADoPQAA4DwAAOA8AAAEPgAAPD4AAAQ-AAD4vSAAOBNACUh8UAEqjwIQARqAAgAAqr4AAKi9AABcPgAAMb8AALi9AAAkvgAAPD4AADy-AADIvQAA2D0AABC9AAAwPQAALL4AABS-AAAMPgAAQLwAAFC9AABdPwAAPD4AAN4-AAD4vQAABL4AACy-AAC4PQAAfL4AALa-AAAQPQAA-D0AAI4-AADIvQAA4DwAAFw-AABEvgAAFL4AANo-AABkPgAA2j4AACw-AAC6vgAAgDsAAHC9AAAEPgAA6r4AAIA7AABQPQAAuD0AAH-_AAA8vgAAVD4AAHS-AAC4PQAAUL0AADC9AABUPgAABD4AABw-AAAwPQAABD4AAOA8AACoPQAADD4AAAQ-AAAsPgAA2L0gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=jvDFn0qPCM0","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":640,"cheight":360,"cratio":1.77777,"dups":["3926365567939586742"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"6000210466739674287":{"videoId":"6000210466739674287","docid":"34-4-15-Z211A72945DC67A9F","description":"Source Code and images - https://www.mooict.com/c-tutorial-cre... Here we want to make a new Rock Paper Scissors game using .Net and C#. We want to make this game in 100 lines of code using the...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/4362296/0805ca9c112578e348698bb2f582e159/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/8LugDAIAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"8","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D0Tu29ZzYDL0","linkTemplate":"/video/preview/6000210466739674287?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"C# Tutorial - Make a Rock Paper Scissors Game in 100 lines of code with .NET","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=0Tu29ZzYDL0\",\"src\":\"serp\",\"rvb\":\"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_QQA-e4JCQYH_AEB_Pb9-P39AOUC8fcD_AIADPwGCwIAAAD4BxT7AQAAAPcD-PIB_wAAABIIBwUAAAAPA_7__QAAAA3_7QH_AQAA_f4B_gYK_wH7DAgC_wAAAPwBAwb-_wAADfoGBAAAAAAO9wb8AAEAACAALZN52zs4E0AJSE5QAiqEAhAAGvABbxEL--PN9QGi8QcA4RHHAoPzNv4sB_8AuBDg_7YeyACwRxAB8PkeAOXm-wGBGRAB4gfn_jZXDALxGkYA-wD5ACMy9AFL3xsAdz0GAC4PHADlXzX9W9PaAGoiLv0j2Qv-HSoa-wP49AmZ2d0E81AkABMLHwYSBB4CtecYAxYjKPTp8QcE6_H9_cMr6_vDFeEIExjN_ikv6fsQAxH4WO7YAe4OJQYzGh7-_hMNB6bLGgD4DOj98x4R_935DPEzHDED9hoK9_vs6ffYZPP_I-8TC-BCCwhE7v8R_L_37usPBwXbNCEDpjz3BxH8CQkn8gLvIAAtVH3aOjgTQAlIYVACKs8HEAAawAdcH8a-AEF0PacSlDw-K5S9SPMRPeFgb72V0gO-lpinvL-0rDuJXSs-013DPX2GBTwbZKK--BoivZVXWL1AvTk-4huqOQyl2Lmsjhq8Do6rOqORrrv9B7K9v63HO3sOE7wrS3S8s773vMckSDv_PkM-d38GuAzrQb09DO29c_6cvUt-G7vR55M9DpstvR0LxLvmlOA95ty3vLbQnzz6dME9rk4Jve4y8jz58re9LAmWO8IbLTzsaNy9L70BvBlYBTuFm6e9iuAkvZ6ny7wlPby9rZnGvNkWlLz3N509Cis1PWyY_Ds75ay9en6HPCKJXjwquwq9FdnYvKExbrxtrOS9phEuPZROwTsnFxM-T9VzPRWpsDwSvey9hfYAPfRDmTtcPq08-LuhvURdWjwaTIg9wAhavUypiTsPVm09hSHXvC88pTxodRc9yJ-TvV44hrxvYcI8rongPAMHNDwq3De92_biPPtnvLwiD269PVkbvR2D4zotM5Y9q3gjvRKONLxiKh481fK5vP-nrLwMsA08fDEPPShLn7hjKn28o0XMvYcqRrx_7hU9fA_XPVXVU7temTw9k4RpvNsAh7ztZNC99qfgOtNSdbvS7sY870LOPPmqLrsZgUK9I7EOvTFSGLzJ6rE85MI8vZ21ITtp_gi-Iv4RvpvHxDo3RMa9moeivRz5WjlpYvC8RTotvfgWVjseGKM7iZKFvSCjADnIMpM9CrQgPTA1nTmkW6q9p0MCPTamwjcf9Oy8WAqWO5WRZbv1fog9M98BvUB8bDl9_fU8pu_FPXWnmTlzEiq9wwM0vZ3cFjkrHjI9CeXIPRQinrl6QxC9awUyvUFoQrglJZg99iWbPNv0gzkeCH885mlKPeuzBDp8ArI8IDSBvUdyBbhLRBO93JVnvfJHAbkWQEI8XtoQPdx5h7ciIms9naSUvagXJLccr2W80AvXvZAFKDkKBmE98pdWvSLknjhvy7G9PE4xvQX4e7Ub8q89r0mtvPt9hbg_40I8vihGvbtylLj12eC6GhrqvFhVyDdv9ge9AhB3vXj4gTcMKXU8HuYGPYMtWDe6ag6-5qzvvX6KuDfx_Bq8P_mgPApelTjyJwq-dbuLO35FKDRMDY69-QzNPIsd3DctHA09STzPvK9QD7gh_3G8jzaOvcoRrrjFxVE9CSnJvPjPn7bjYAU9EQFHvdkMdDiCyAI-OaDAvTwBPzhZDwS8ph2IPfT5PTha8ni9mEuuO2jpXrhIey29jUIyPpyxqTgK9de7NjzdvXUndbggADgTQAlIbVABKnMQABpgOPcATt4Qvvr7VfAv0eYl9Sf7sQj0O_8Ds__wAgUDIA2-tvMyAAnUMN6aAAAACh-uMtcANH8Qpu36ugbpvdDNQ95X6idS6wxDDvbPbAT5O8sd7wkiAPrmuR4oC_xCReYaIAAtA_4QOzgTQAlIb1ACKq8GEAwaoAYAANBBAADYQQAAYEIAAFDBAABQQQAAMEEAAExCAACIwQAAsMIAAJDBAAAsQgAA2MEAABzCAABwwQAAUEIAAEDCAACgwAAATMIAAGzCAADQwQAAIEIAANjBAADwwQAAYEIAAOBAAAAowgAAQMEAAFzCAADgQQAAqMEAAGDBAAAoQgAAqsIAAHBBAADAQQAAIMEAAPDBAACKQgAAgEEAABRCAABkQgAAEEIAALBBAABAQgAAoEEAALzCAAAUwgAAgD8AAIZCAAC4QQAARMIAACBBAAA8wgAAMEEAAHBCAABgQQAAuMIAAOjBAADgwAAAWEIAAGRCAACAwAAAAEIAAJbCAAA8QgAATMIAANhBAACGwgAAuEEAAEzCAADGQgAArkIAAFDCAABIQgAAAEEAAEjCAADAwAAABEIAAADBAACAwQAAwMIAAOBAAADYwQAAgEIAACDCAADAwAAAAEEAAKZCAAAQwQAAwMAAAIBAAACYQQAAiMEAACjCAABYQgAAJMIAAIBAAABAQAAAQEIAABTCAACAQAAA-EEAAEBCAAAUwgAADMIAAHBBAAC4QQAAiMEAABhCAAAcQgAAwEAAAFDBAAAEwgAAgL8AANBBAACgwAAAgEAAAMjBAACwQQAAEMEAAExCAACcwgAAhMIAAJjCAACAwAAAwEEAAIhBAADgwQAA8MEAALjBAABAQAAAXMIAABTCAAAYQgAA0MEAAEBAAADQQQAA2EEAAJrCAACEwgAA-EEAACxCAACwQQAAAEEAAPBBAADAwQAAEMIAAMhBAAAQQgAA0MEAACTCAABwwQAA8MEAALDBAACgwAAAqMEAAFDBAABQwgAAQEAAAIZCAAAQQgAAaEIAAEBAAACwwQAAUEEAABDCAACAQgAAikIAAMhBAABgQQAAuMEAAJRCAABIwgAAMMIAAMDBAABAQAAAIMEAAKDBAABYQgAAiEEAAI7CAACoQQAAgL8AAJDBAAAIQgAA6MEAAFjCAAAwwQAAEEIAAHBBAAAAQQAAhMIAAIBCAACIQQAA4EAAAEzCAABwwgAAQEAAAIrCAACgQSAAOBNACUh1UAEqjwIQABqAAgAAoDwAADA9AACOPgAAij4AAJi9AABcPgAAlr4AAAm_AABwvQAAiL0AAM6-AACYPQAAuL0AAMg9AADgvAAA6L0AAJ4-AAA8vgAAjr4AAL4-AAB_PwAAQLwAAPi9AAAEPgAAJD4AAEw-AACoPQAAgr4AADy-AACgvAAADD4AAJ4-AADiPgAAHL4AAL4-AAAsvgAAML0AAKi9AAB0vgAAyD0AALi9AAAcPgAAXD4AAES-AABAvAAAjj4AAJ4-AACaPgAAJL4AAEC8AAD4PQAA5r4AAKC8AABQPQAA-L0AAOA8AAA9PwAADD4AADC9AACAuwAAgDsAAAy-AAA8PgAA0j4gADgTQAlIfFABKo8CEAEagAIAAOK-AABkvgAAnr4AAGW_AAAQPQAAmD0AAFA9AADovQAAcD0AAMi9AAANvwAAoj4AAFy-AADYvQAAQDwAABA9AADGvgAAOz8AAMi9AAAJPwAAir4AAKa-AADIvQAAPD4AAI6-AACivgAADD4AAJi9AACIvQAABL4AANg9AACoPQAAPD4AAKi9AAAUPgAAQDwAAPg9AABMPgAAXL4AAFw-AACIPQAAgLsAAEC8AABQvQAAFD4AAL6-AAB_vwAAXL4AAOg9AACYvQAAjj4AAES-AAC2PgAA2D0AAEA8AAAcPgAAUL0AAAQ-AACovQAA4LwAAGQ-AADWPgAAdL4AAGy-IAA4E0AJSHxQATAJOAFKAGAAaAA,\"}","related_url":"http://www.youtube.com/watch?v=0Tu29ZzYDL0","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":1920,"cheight":1080,"cratio":1.77777,"dups":["6000210466739674287"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"9537717658638289085":{"videoId":"9537717658638289085","docid":"34-6-17-Z751D98684B7B0703","description":"Implementation of the paper "On First-Order Meta-Learning Algorithms" in 100 lines of PyTorch code. Link to the paper: https://arxiv.org/abs/1803.02999 GitHub...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/1656660/17d098ef2a150f3bcec274c0c50d13c6/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/Kd-yRwIAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"9","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DPcA-JRtfan4","linkTemplate":"/video/preview/9537717658638289085?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"On First-Order Meta-Learning Algorithms | Reptile in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=PcA-JRtfan4\",\"src\":\"serp\",\"rvb\":\"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-A4IEJAGABCsqiwEQARp4gfsK_gkC_QDr8QsBCgH_AAAE__j4_v4A5AME_Qn9AgDyAP3-_wAAAAb4GAMCAAAABAH5BfL-AQAYCwMNBAAAAB3vAgH6AAAADPr3Af8BAAAB-_wQBP8A_wgQAgsAAAAADAQBBfv_AAAOCQL7AQAAAPv5AQQAAAAAIAAt4HXMOzgTQAlITlACKoQCEAAa8AFQEen_AeX6AtkC7wDTEef_gQUL_ykO1QDL9QgA4_XSAer59gDkAhkB_gsNALjzBwDuEuT_AwoUAAjmI_8J_BkAARQOAQ79GQEuAP0A6Qf9__E0Hf4d3g8AHN74ARX_5P8X9A794evaANL72gD_AyEAI_MNAR3yAAHnLxcA9QUGAPMX8P7wFfn-3v8DABsJBgT9GeIDHhHj_t4dCQMoEPUJ8f0eAPIN9AIDGAwHCQUB--_8-fwcA_4H2QkYAgEfCPf4DBcC9fb-_fcC-v8fB_UGBB4DA_3p9gf2_wH-9_f8_usKDfnPIfsE2g0O_PoI-fUgAC1uJ0g7OBNACUhhUAIqzwcQABrAB7qj974xg6c8InxePOQFQr3b-5Q990KcPI7ZuL3iECC9ZlBIvXnl-j0lsLk9qCLwPJfHqr4Tx-w7vhGdvAovYT4XcbC8QdPGOWLZLL5yAqo7w2QKvW077b19uD-8GvIVPDBBkr1PaIi8hU8pPanB1D3qqDQ87UqmvJw5ATz2y467Ao5Su1wAHjt5yDm8RiI0vB5w_T13gKu70e8Yuy9R_T2xBWC6n6utvIJeE72TXUQ8Oy86PJo6VL1MU6W7uAD6unVmLD2mi8M8_3SoPEl0Jb0IXBK9_lx6u0kL_DyZB1U9SbqoO41_nzuhjn09_wkuvBq1nD0x8Le8MOEnO5fkML5Ebyw97IJmvHuHSz7Yb9y8oGgBu6Hy770JmXW8NiafPGGIPD0hySy9Yd2dO5fmJj4l_Dc90ssDO1Kl3DxBcTa8xH4LvLowAj5mvZi8zD60vAI_kboIvMK8U3omPPmo2rwLRuU9LyqxOwwYKb1qxr08FqS6O6-m_DwgxN-6mBZ1PJGLkD2K0e-6VSvZOkLmrzzKHTE9EaFXO3sHy7sbupu7xJGsvMPwET0sRaI9JkUWO_YFqT3BvNG8b3zxuznFdLyozjm9IbPxuwO9Jj00v_W8lFC4O9iIO7zJx249zjohPF-iMLyQLZC9kBOmu5J0zb0njEE8O9LPOuwIMb3UDKm8HR9Kuzqcnz3aOrg8XHxAO6vJeLzXcwo8uZGuOxiyCj5lnsO7GNGCOD1KArx8LH28KtQHPJ3qmryQQw49NF06u8o0-j0Te828WYZhONUI_Ty9vfU8IqyOuWlBXjybqMo8ZORyOE5IBj2oKXg9jF0dNyexmDtNoIi9ZLBsOhvEPbzUiI-9bK0pORzbQb30v9w8uhxuOj7yQj2xxYk9ISGkufwBCj1l84K8JqcTtv4uJz2oRVA72CriOOXy-jy__Fi4n_squdlXAby92la9fLeVuCXXA70EtLg9qiequJIDtjwvfI67Z12KuHMYBjxOlj891tyTN6OGwDyUUFU8QnhSuDS5vbyA24s7LWynuLAPsb23DLi9_lg4uM_g3Tn6umc9CgWHuG3F_r2i1D69Gi_0uGFM_rvUmLW9M7SCNoaqeD21IgC92i8DOJ_YlL26xGy98lIUOKBUyz338ca8LY_VuGaDHD5c3KC98PyDt_ZG7TxUg7o8J1aKt8XGnD2H8QQ9KLWmt_Z0ej3gD9-9P5mbt_lk5T3I2Zo9tUDWNpKoHL1HVTM95q98uLJYVLyQ1j098RXrtwhkgjvWLGG9KOhcuCAAOBNACUhtUAEqcxAAGmAj_wAlzym20S9H2_XK8yPw2zHMBM33_xXH_98nOQoUA-uaLgr_EPcxBZcAAABB_qkk-wDTf_vZCP7VAeSo5fQ12lH_5CPzPA4Hydg5I_LlBAFSbC0AA8TLBnIevCVMFBkgAC3mlxE7OBNACUhvUAIqrwYQDBqgBgAAiEEAACBBAACoQQAAEMEAAIBBAACOQgAA-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-AABAPAAAEL0AAEC8AAAwvQAAQb8AAB-_AAAMvgAAPL4AANi9AAD4PQAAjj4AAMi9AACWvgAAFL4AALg9AABQPQAA5j4AAH8_AACgvAAAmD0AAHC9AAAQPQAAqL0AADw-AAAcvgAAoLwAADC9AABcPgAAoLwAAHA9AAAwvQAAgj4AADC9AADoPQAAkr4AAI6-AACgvAAALL4AAII-AAAQPQAAgr4AADy-AABQPQAA8j4AAIC7AACYPQAAur4AAIg9AAAEvgAALD4AAJg9AAAQvQAAoLwAAC8_AADYPQAALD4AAKC8AADIPQAAND4AACQ-AACYvSAAOBNACUh8UAEqjwIQARqAAgAADb8AAEQ-AADYPQAAR78AALi9AADIvQAAMD0AAHC9AAAwvQAAQDwAAJq-AAAMvgAAhr4AANi9AACAuwAAgLsAAFC9AAA5PwAAoLwAAFw-AABQPQAAPL4AAEy-AAC4PQAADL4AAHC9AABAvAAAED0AAFA9AADoPQAA4DwAAPg9AACYvQAAyL0AABQ-AACIPQAArj4AABS-AACivgAAML0AAIa-AADgPAAA2L0AACQ-AACYPQAAyL0AAH-_AACgvAAADL4AAPg9AABkPgAAQLwAABw-AABsPgAAQDwAAIg9AAAwPQAAsj4AAFA9AAAQPQAAfD4AAAw-AABsPgAAFL4gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=PcA-JRtfan4","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":3456,"cheight":2160,"cratio":1.6,"dups":["9537717658638289085"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"154442638931149537":{"videoId":"154442638931149537","docid":"34-5-7-Z96EF6A9F125C40EE","description":"Pure Python / PyTorch implementation of the paper "Instant Neural Graphics Primitives with a Multiresolution Hash Encoding" in 100 lines of PyTorch code. Udemy course about NeRF...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/4340917/fe3702020e3a9d596143616cd0a6551c/564x318_1"},"target":"_self","position":"10","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DPXbPeG5PJd0","linkTemplate":"/video/preview/154442638931149537?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Instant NGP in 100 lines of PyTorch code | NeRF #13","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=PXbPeG5PJd0\",\"src\":\"serp\",\"rvb\":\"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_gIA8gEPBPoE_wELAPAB9v__AOjzDvkD_gEA-fX4-_gAAAAS-fT__QAAAPkH-vP2_gEABAb7B_kAAAAC_gD1BgAAAAYD9gH_AQAA-Qv5BvcBAAADAggHAAAAAAUH8wEAAAAACQQIAQAAAAAF_QL5AAAAACAALV2u2Ds4E0AJSE5QAipzEAAaYOUNADjIHvbIOi3YBM_kL_f4Et_13_H_Ksf_Azr5Eigl9YER_f9L0xEQnQAAABQTww8DAPV36v4kFQhA6sXRAgdQfN4J0DpRS_DsCRgSB9j8AAtN-wATAQ0gYNqebDry_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-EEAABBCAACAwAAA8MEAAODAAABUwgAAkkIAACTCAAAAAAAAIEEAADxCAAAUwgAAhsIAAGzCAADUQgAAUMEAAIjBAABEwgAAIEIAALjBAAA8wgAA6MEAAJpCAABwQQAAiMEAAIpCAADAQAAAXMIAANDBAAAwQgAAgD8AAIDAAADYwQAA2EEAAIBAAACYQQAAiMIAAPhBAACIwQAA-EEAAAAAAACgwQAAukIAAGDCAABQwQAAiEIAANjBAABMQgAAUMIAAGDCAABQwQAAcMEAACjCAACgQQAAwMEAAGjCAACYwQAAkEEAALBBAACgwQAAEMIAADBBAAB4QgAADEIAAKDAAAAEQgAAgMIAAGBBAAAkQgAAgD8AAIBBAACwwQAA2EEAAIbCAAA8wgAAVMIAAEhCAACaQgAAKEIAAJjCAABcQgAAGEIAAADBAABkwgAAHEIAABRCAAA0wgAAoEEAAIjBAACAQAAAQMIAAIhBAADQwQAAAEEAAGjCAACwwQAAgL8AAKBAAAD4QQAACMIAANjBAACQQgAAUEEAAKDAAADgwAAApsIAAEjCAACoQQAAAEEgADgTQAlIdVABKo8CEAAagAIAAMg9AADgPAAAkj4AAIC7AAAQvQAA2D0AADC9AAAdvwAArr4AAOA8AABcvgAA2L0AAFA9AACCPgAAiL0AADy-AAA8PgAAUD0AAPg9AAC6PgAAfz8AAIA7AABAvAAAcD0AADQ-AAD4vQAAMD0AAAS-AACgvAAAFD4AAKg9AAA0vgAA2D0AAHS-AABwvQAAmL0AAOg9AAA8vgAAkr4AAAy-AAAsvgAADD4AAJg9AAAsvgAADD4AAOg9AADSPgAAQDwAAEA8AABcvgAA-D0AADS-AABUPgAAML0AACy-AADgPAAAQT8AAOC8AADoPQAAcD0AALg9AABEPgAABD4AAKi9IAA4E0AJSHxQASqPAhABGoACAAAdvwAAbD4AALg9AABhvwAAED0AACy-AADgPAAAJL4AADC9AABAvAAAUL0AAFC9AACSvgAAHL4AACQ-AACAOwAAmr4AAE8_AADoPQAApj4AAIg9AAAcvgAAqL0AAOi9AACGvgAAbL4AAOA8AACoPQAAgDsAABC9AACYPQAA6D0AAKC8AAAEvgAAij4AAHC9AAC4PQAAgLsAAK6-AACgPAAAbL4AAOC8AAAcvgAAoDwAAAy-AACoPQAAf78AALa-AAAwPQAAcL0AAOA8AACgPAAARD4AACw-AAA8PgAAiD0AAIC7AACCPgAARD4AAJi9AADoPQAA-D0AAEQ-AADIvSAAOBNACUh8UAEwCTgBSgBgAGgA\"}","related_url":"http://www.youtube.com/watch?v=PXbPeG5PJd0","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["154442638931149537"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"13694062751257850311":{"videoId":"13694062751257850311","docid":"34-5-13-Z0EA505F76964E822","description":"Machine Learning: Implementation of the paper "On the Variance of the Adaptive Learning Rate and Beyond" in 100 lines of PyTorch code.","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/2072031/1b8c96b2d754577c9beb87f859372d42/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/uZKzPQIAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"12","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DdDp0jBWiHQM","linkTemplate":"/video/preview/13694062751257850311?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning: Rectified ADAM in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=dDp0jBWiHQM\",\"src\":\"serp\",\"rvb\":\"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_E_ECggQkAYAEKyqLARABGniBBAvzAQAAAPH6EgUGBP4BA_gNAfn-_gDYCAD9B_gEAPMA_v7_AAAA_woSBwAAAAADAfkF8v4BAAoR_QwEAAAADf_4-wcAAAAD_PUI_wEAAAn3BRED_wAACA8CCwAAAAAGBfv2_v8AAAwBB_gAAAAADvcG-wABAAAgAC14HNU7OBNACUhOUAIqhAIQABrwAVkO8v4L5gADuwXeANgj5QGBAAL_LAbuANf76QHd8dsA3fHS_-zsDwDlEQEAnQ_wAd4K8f8WDQEB_eAO_w_wNQAHAtAAK9skAiv1-gD2I-L_AR8n_x7RMP446u7-Bwvv_h0EA_y27eP-vObpAw7-OAEm_P39GPoK_vcrDgT0JRQDBfX_Bd0P-v_A-gMDCxb9__wf3AQoDvEE2Awo_jET8wvz9Rn57u359fYIDgrz9Pn48fn-BQ0ACgHRCx0DDzIVAf0sDQP76OTt_Qzt-C339gUB_QH_--oECAHe9f_a7f31zgUN9M8fDgcADBT24wf27iAALb9PJDs4E0AJSGFQAirPBxAAGsAHIqjivvEe8TwPkzU9HeJEPEIhIj0nwLA846C5vRxtizxeBSO806MZPqg2eD1hCfe6s_B1vsfQlrxFZEA5QL05PuIbqjkMpdi5YtksvnICqjvDZAq9bTvtvX24P7wa8hU8pNwivcxHDLw5d4A9Cp0XPpObFbwRiq28EfFgvSMFAL0dM5Y7jMeLPSrTnjyPrNe8yYrGPUHd2zx2PyS6nYV4Pbw-kLuKBT68CRCqvd3Ioby_FYE7yL_FvA5ANDoSjrC7L012PcaViT3C60Q8KEJvvULRp72hf6e7FL2CPSFRsj3r3q88z2tnvRh8NT06DnK8ZPnCu_mREb2c6Cm8d_UKvqCfLj1c-VG8e4dLPthv3LygaAG7HIS_vU2tDT03nOQ7ebWHPXMQtLwdKrw8LuciPsGquj2qvkC6sqeTPMBTEr2DjjG8HO7jPa5CrzycTMG8Aj-Rugi8wrxTeiY864nwOzfjFD7Mf8S6ft0uvSmnRz13SX873x6fPC0iCr1eTia70q6tPb7Zlr1gwQU8JsILPVEJ2Ty1a0I8ypiMPBLHsLyjP_I6TaYlPWp5bz3r2BA8SBgGPm7JZb3t1QW8OcV0vKjOOb0hs_G7ApIaPbSG3Dz2Cou7VCU9OvBVxjwpE-m6nSFmvJQWDr2TLR68vCMDvpykubyFq4c7uc2vvLvQQb2iALy7aMCKPbXAgzwUJog7J1szvYUqDrywHCW7ElDBPcF4Qb1h0wq6ktikvLNW2TxHIck6sXmsOwJk6DumCHQ73rmmPTtoG73aGcc5zaHWPHhSlTw8ypc42G2GO73VhLyW2He4fPUsPdd3tDzBz3O3rS-3Ov0S8b28I4k59iOFvNpIKL0nuY45tPCruzN1eTryqYw5aIXYPCC_nT02a6e5i3xNPIuxfbkb2R-5CwWRPJ8x3TyDT5Q3k9jeOwNMT71GXwW45qULO1O7Nb193MI4AjJPvSOC0T11t7w4oG8LPKT8pDz9YCC4UIiFPUYIbz0f1iY4PiYNPSPgmz2w6xy4Hp7Ou_yUGT1rbM63IO66vfOvJb6rC8k4xKvRPBhdwTtDtlW4umoOvuas771-irg39dpsvDpZ6r1g-rg3_YYJPSbI57su76S3SrYKvmee3L1blvY4Ol3WPexKjTsc-0m5QwIGPpWtv7w2PBi4Ee8vPYL8T7td6gQ3SIG_PTN-uz3FngM49nR6PeAP370_mZu3ak8ZPqlumT0IAjK3ZlwCvXQWTD2AeJi4_ANAPCJs3TzXIoy47ylPPcO2Rb1RyQe4IAA4E0AJSG1QASpzEAAaYP33AE_7C8DhESjw98jpM-3WKc0Hrg7_GcH_4Dvw6wYG2YIiCv8XzxgFlwAAADEJ3AkYANR_CtDeDcsB-qfR0xDiYg_5IsFOIyfa2EgU6-7eN_5YNABBxcYCVyWrIjb6HSAALdtbETs4E0AJSG9QAiqvBhAMGqAGAACAvwAAMEIAAKDAAACQQQAAAMEAAABCAACyQgAAQEEAAJ7CAAAAwgAAAMAAAKBBAAD4wQAAmMEAALpCAABkwgAAiMEAAATCAADwwQAADMIAABhCAAAcwgAACMIAAMDBAAAkQgAAgD8AAATCAACYQQAAuEEAAGBBAAC4wQAAsEEAAJrCAADCQgAA2MEAAAAAAAAcwgAA8kIAAABBAAAEQgAAGEIAAKhBAAD4QQAAUMEAADhCAABQwgAAuMEAAIC_AAAgQQAAoMEAAMjBAAC4wQAAEMIAAKDBAABEQgAAVEIAAJ7CAAAwwgAAAAAAAJBCAAAoQgAAAMIAAFDBAAC8wgAANEIAABDCAAB4QgAAwMAAABTCAAA4wgAAUEIAADhCAACEwgAAUEIAALjBAABwwgAAEMEAABRCAACKQgAACEIAABDCAADYQQAAyMEAAIhBAACgwQAAoEAAAEBAAAA8QgAAgMAAAIA_AAC4QQAA0EEAAIbCAABkwgAA4EAAALbCAADAwAAAIEEAAABCAABQwgAABMIAAJhBAAD4QQAAEEEAAEzCAADAQQAACMIAAChCAACAwAAA4EAAALjBAADAwQAAaMIAAMDAAAAMQgAAUMEAAEDBAACOwgAAwMAAAHDBAAAoQgAAIMEAAADCAABMwgAAgEAAAJhBAABYQgAA-MEAAGTCAAAAwgAANMIAAHDBAABAwAAAlkIAAABCAABAQAAAUEEAACDBAAAgwgAAOMIAAARCAABAQAAAQEIAAKBAAAAcQgAAHMIAAKjBAABAQAAAWEIAADxCAABgQQAATEIAACDBAACCwgAAAAAAAMDBAAA0wgAAIMIAAPDBAADgQQAAwEAAAIRCAACowQAA-MEAAKDAAABEwgAAyEEAAJJCAABAQAAAwEAAALDCAAB8QgAAFMIAAFzCAACIwgAAiMEAAI7CAADowQAAIEEAALBCAAB0wgAAoEAAACjCAACAwQAAQEIAAEBBAACGwgAA8EEAAKBAAACgQAAAQEEAAEDAAADgwAAAAAAAABDBAAA4QgAAIMIAAFBBAABYwgAAAMEgADgTQAlIdVABKo8CEAAagAIAACS-AACYvQAAmj4AABw-AABQvQAAND4AAFC9AAAhvwAAFb8AAKC8AACCvgAAdL4AAJg9AACOPgAAUL0AAJi9AACAuwAAQLwAAII-AACyPgAAfz8AAFC9AADYPQAAqL0AAOA8AACovQAAJD4AABS-AAAQvQAAQDwAAAw-AAAEPgAAoDwAAIC7AAD4PQAA-L0AAKC8AABkvgAAdL4AAOA8AACmvgAAbD4AAGw-AABMvgAA2L0AAEC8AACuPgAAoDwAAFA9AABMvgAA6D0AADy-AAA0PgAAQDwAAAS-AAAwvQAALT8AAHw-AAAsPgAAUL0AAIg9AAAcPgAA2D0AAEC8IAA4E0AJSHxQASqPAhABGoACAADivgAAUL0AAMg9AAAXvwAA4LwAAOA8AAB0vgAARD4AAES-AADYvQAAtr4AANi9AADIvQAARL4AADQ-AACAOwAAED0AAE8_AAA0PgAAjj4AAFA9AACIPQAAoLwAANg9AABUvgAAlr4AAOg9AADgPAAAMD0AABC9AADIPQAABD4AAJg9AABwPQAAqj4AAEA8AACCPgAAhj4AAL6-AAC4PQAA-L0AAIg9AADYvQAAUL0AALg9AAAwvQAAf78AAHC9AABAvAAA6L0AACQ-AAAcvgAAJD4AAJI-AAB8PgAAyD0AAKg9AACqPgAAML0AANg9AAC4PQAAZD4AAFA9AAA8viAAOBNACUh8UAEwCTgBSgBgAGgA\"}","related_url":"http://www.youtube.com/watch?v=dDp0jBWiHQM","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":3456,"cheight":2160,"cratio":1.6,"dups":["13694062751257850311"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"9931981497227056626":{"videoId":"9931981497227056626","docid":"34-6-6-Z8DED9733F1411093","description":"Machine Learning: Implementation of the paper "Least Squares Generative Adversarial Networks" in 100 lines of PyTorch code. Link to the paper: https://arxiv.org/abs/1611.04076 GitHub...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/2956615/add3839b39d67f547bb61c4284396705/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/2hGTSAIAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"13","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DOOOLhKVxP-k","linkTemplate":"/video/preview/9931981497227056626?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning | Least Squares Generative Adversarial Networks in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=OOOLhKVxP-k\",\"src\":\"serp\",\"rvb\":\"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_0H-ADv-hQGBwT9AQEJ_gn3_v4A4AH1_wv8AgDxAAEI_QAAABUFCf7_AAAAAv799fL9AQAZEfUIBAAAAATtDgD7AAAADQ_tAv8BAADz8P8CBP8AAAoLDwoAAAAA9wwI-vr_AAAGDQf7AAAAAAD6Fff_AAAAIAAtR52_OzgTQAlITlACKoQCEAAa8AFlKe795s8MAcb20wCv_uH_gQot_1r97ADI3xMB1-_VAOwH6ADM9SUA2jQJ_p3-9wHFJfL_FibxACAFMv8r9BwAMxb2ADLVKgIu2wQA_gXn_wIkLv4j6DICKuAH_wX-8gATCwUA7-vS_tbz0gAMFyYA_QkTAj4O4wT3GiAF8isYBCQVBwG6DxMDxfAF-ATbCf_6D7oJKgDkAuYZEwM5FvAM3gcgA_wC8vvZC_b2zvoI-eH1AvcPCv8K2iYDARE6GQIZDv8D8t8B7hAV8vQK9OH7E_4FBR_nBQnu7__yxPIA_vL5C_-6L_kF5_AG_RQKBPIgAC1QIw07OBNACUhhUAIqzwcQABrAB23I375z99Q8_gGgPHMcLryDdn099Oyku_2FHr4Bamo84dBbvNcUCD4iBjU9R8KjPJmAp75l-9A8n_oRPf29dD6SVEu9A7HsPGLZLL5yAqo7w2QKvVhjP73bNow6RBTTvDHsoL1pBPY8Y1QjPWmEyD2tchw9JJO4vOw_obyBKom8DFGqPC-bSj23Siu91mgivJV_DT6ipFa9sVVdPHcx7T2PACm9dpYRPIJeE72TXUQ8Oy86PHq2qL2u4sO7KYvrO0VkWD29oOo8X3yPumQqs71BPjK8OsY6PNlsNj3cAKI8NhLXO9OZJb0XOXo8W6hGvMjw8zw0AGq9vJ_LO9AqQ76Yc5-8D6iIPN20GT49FtE8A2D6ux7Sqb0W8s46XjKpPLsqUD36jUC8v---OpfmJj4l_Dc90ssDO1Kl3DxBcTa8xH4LvObNET4j-zs9Vnd2vMm7ib1RFo69Q2tJOwm70Tscts0973pEvB4lJb2_2UG82mvqu40Bgrs72Ze8DsqHu8bB5T0dVY29jP_xuqM_1D1nIjE9BmaFusqYjDwSx7C8oz_yOr2s5DyaWjs9Ja4jPB5r5j0bKgY9OEMWvO1k0L32p-A601J1u6pEWTzZKho8eot5Or0vOD3nvK079I8XvOO1Qb0K1hi9qFbfu2ynd721qgC9FHD4OyZO07z6vm68kOFru6od8jsdoiS68pcWPHYPmr3IpSC99YpFugfu4D163B679qUOut__4jwxUKO8462QO-o4Q73BKQI9rI-oOfV-iD0z3wG9QHxsOQr3Cj3PBio99q29OdptvDxGj8Q8XPWZON47mj1u8ys9480vuSUyHb2VEIy90iOpOBFDoTx8iJ27dTR6Ol_JX71t_Eu72xpMOAGCHLsswgg9kFRXO5tMZj00U1W9S6ELOK_SuLzwajk8iV7wuOKVYjsYLba9_INZuTjGab29CJm90jsWOQWEHLxZuic8yAMbtqBvCzyk_KQ8_WAguGfS5jwC7TM98EqDOX2OhD3lwjc8AMfqth6ezrv8lBk9a2zOt1cG9b1wQ-y9zAyLuNpO5TxkLIk8fJqYuLjkKL7Rf4W8nfgaueE0szzcYXi9OPeqt-IcmjwFIrq8bjuEtymSH7609KK9h0GoOATp_TxZlCi9v7xjuGMp0j2Wnam9_y-ct8rX7zyv5fq8I2wxN5YKCj44KRE9qBkXOD-Oxj0r3gi-hyK0uFUYpj1tC8U9g8fnOD_6S7yqGSg9HvjDuPs3FL2Jzjc9rw2Pt-LLRDwoiTu9N_TVtyAAOBNACUhtUAEqcxAAGmAa9wBOBRbP5ANB7f3B6iD_5T_rKJsO_xjJ__JBCt4UC-mHDCP_BeEaD5YAAABK6uDx_QD7fwC0_PG7G9yrtOUJDWO-6Q_IA1sv-tj5GukS7zIhSBoA9tLOH2EQ2zUl5zYgAC3OZxM7OBNACUhvUAIqrwYQDBqgBgAAYMEAAI5CAACwQQAAAAAAALhBAACEQgAAgkIAAHDBAACCwgAAwMAAADxCAACgwQAAAMIAAKDAAAAsQgAA-MEAACBBAABwwQAADMIAACTCAAC4QQAA8MEAAJDCAACgQQAAwMAAAPDBAACowQAAEEEAADRCAABgwQAAWMIAAMBAAACWwgAAeEIAAADBAABswgAA-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-QgAA7sIAAITCAABAQAAAgEAAADhCAABkQgAAQMIAAJZCAACAQQAAoEEAACxCAABkwgAAMEEAAADBAACawgAANEIAAGTCAACAQAAA-EEAAIA_IAA4E0AJSHVQASqPAhAAGoACAADIvQAAiD0AANg9AAC4PQAA4LwAADA9AAAEvgAAP78AAA2_AACgPAAAbL4AAOC8AAAwvQAApj4AAHy-AAAUvgAARD4AAEA8AAB0PgAAKz8AAH8_AAAEvgAAyD0AAAS-AAAkPgAA2L0AAKg9AABEvgAAML0AAKA8AAAsPgAAqL0AANg9AAAcvgAAcD0AABS-AACIPQAAXL4AAGy-AACovQAAJL4AAMg9AAAEPgAAJL4AAPi9AAAsPgAA-j4AACy-AAAwPQAAHL4AAIg9AAC-vgAAdD4AAKC8AACGvgAAgDsAAGM_AADgPAAAmD0AACS-AAC4vQAAqj4AABA9AAAUviAAOBNACUh8UAEqjwIQARqAAgAAur4AAAQ-AABQPQAAK78AAAS-AABsvgAAcL0AADC9AAC4vQAAyL0AAAS-AADYvQAARL4AACy-AABcPgAAgLsAAHC9AAAtPwAAcD0AAKo-AAC4vQAAEL0AAEy-AACIvQAAJL4AABy-AADYvQAA4LwAAFA9AACgvAAAUD0AADQ-AABwvQAAyD0AALY-AADYPQAAZD4AADA9AACKvgAAUL0AADS-AAAkPgAA2r4AAAQ-AABUvgAAmL0AAH-_AABEvgAAML0AAEy-AACIPQAAUL0AAOA8AACuPgAAUD0AAAQ-AACAOwAA6D0AADC9AABAPAAAQLwAANg9AABkPgAANL4gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=OOOLhKVxP-k","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":3456,"cheight":2160,"cratio":1.6,"dups":["9931981497227056626"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"61381596392521659":{"videoId":"61381596392521659","docid":"34-5-9-ZDAD428E02E446DEA","description":"Machine Learning: Implementation of the paper "FastNeRF: High-Fidelity Neural Rendering at 200fps" in 100 lines of PyTorch code. Novel view synthesis with NeRF at High FPS. Udemy course...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/1603694/3e47c0fd1bd93c075c3ed871f5a5f234/564x318_1"},"target":"_self","position":"14","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D1OsRruZmAaM","linkTemplate":"/video/preview/61381596392521659?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Neural Radiance Fields at High FPS | FastNeRF in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=1OsRruZmAaM\",\"src\":\"serp\",\"rvb\":\"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_E-YFggQkAYAEKyqLARABGniBAg8H_v4CAOoJBAMLAf8ADAD7-vYAAADtBPz4BQAAAPMA_v7_AAAA_Qv8BQwAAAD3_f71-v8AABEHAQz1AAAADfcIAvsAAAAC-AEGAAAAAPj39_0D_wAACQoNCQAAAAD5AfoK_wAAAAb9DP8AAAAA_goB7P__AAAgAC1oV9Y7OBNACUhOUAIqcxAAGmACBwAS6Q3Z5jwg09voEDMH7QwU7qUJ_yyj_9MqFt0qOuCQIRUAU7oN-JcAAAAJFscd3wDreSLwDfkDCuVKqtlEGXT_DfAeNiMv2xAJyBzXFufmfwgAzugUMFTmsycuJvogAC2ZvxE7OBNACUhvUAIqrwYQDBqgBgAAIMEAAFBBAAAAwAAAEEIAALRCAAB8QgAAikIAACTCAAAQwQAAwEEAAIBAAAAgwgAAIEEAADjCAABgQgAACEIAAKDBAAAAQQAA4EAAAFhCAAB4QgAAoMIAAGjCAABEQgAATEIAAIBAAAAIwgAALEIAAIBAAAAwwQAAgEAAADDBAADAwAAAnkIAAEDBAACAQAAAuEEAAGBCAACgQAAAPMIAAIZCAAAQwQAAIEEAADRCAABgwQAAAEAAAMBAAAAEwgAAwEEAADhCAABAQAAAGEIAANBBAAC4wQAAKEIAAJxCAABQwQAAGMIAAKDAAACgwAAAGEIAAFzCAABgwgAAsMEAAGDBAABQQQAAsMEAAIC_AACYQgAAwEAAAABBAAAsQgAA-MEAADxCAADAQAAAhMIAAIDAAAB4QgAA-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-AADYvQAAiD0AAKC8AABcvgAAHb8AAPa-AACYPQAA3r4AAIA7AAD4PQAAtj4AANg9AAD4vQAA4DwAAKA8AAAMPgAAyj4AAH8_AADovQAAdD4AAOA8AACAuwAAUL0AACw-AAAwvQAA6D0AAJg9AAAwPQAAoLwAALg9AABcvgAAcD0AAOC8AADgPAAAEL0AAGy-AADIvQAAfL4AAKI-AAAkPgAAhr4AAEA8AAAUPgAAuj4AAKC8AAAMPgAAlr4AALg9AABUvgAAVD4AAEA8AABkvgAAQDwAADk_AADgvAAAyD0AAAw-AACoPQAABD4AACw-AABwvSAAOBNACUh8UAEqjwIQARqAAgAAtr4AAEw-AACaPgAAT78AAIC7AABMvgAA-L0AABS-AACIvQAAcD0AAGy-AACgPAAAoLwAAPi9AABAvAAAcL0AAPK-AABRPwAALD4AAKY-AADoPQAAVL4AAAS-AAAEvgAAVL4AAO6-AACYPQAAyD0AABw-AACgPAAAgDsAALg9AADIPQAAfL4AALg9AAAQvQAAND4AAOA8AACKvgAABD4AAHy-AACYvQAALL4AAFC9AABAvAAADL4AAH-_AAC4vQAAPD4AAMg9AABwPQAAEL0AALg9AABMPgAABD4AAJg9AABwvQAADD4AAOC8AACYPQAA-D0AAAQ-AACGPgAAVL4gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=1OsRruZmAaM","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["61381596392521659"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"16283170334374756564":{"videoId":"16283170334374756564","docid":"34-8-4-ZA4856BCD33045E09","description":"Machine Learning: Implementation of the paper "NICE: Non-linear Independent Components Estimation" in 100 lines of PyTorch code Link to the paper: https://arxiv.org/abs/1410.8516 GitHub...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/4470196/12031c29f78377abf382b2f258f96e19/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/4902RAIAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"15","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DRwTjQmInKmM","linkTemplate":"/video/preview/16283170334374756564?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Normalizing Flows | NICE: Non-linear Independent Components Estimation in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=RwTjQmInKmM\",\"src\":\"serp\",\"rvb\":\"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_E_gDggQkAYAEKyqLARABGniBFAz7CAX6AOrxDAELAv8AEA3xBPQAAADsBfz3BQAAAAH4APb5AQAA7QoAAQAAAAD1-P_-8v4BABMIAQ30AAAAH-4CAfoAAAAHA_UB_wEAAP8F-_8D_wAAEQb4EP8AAAD4_QsFAQAAAPEHCg4AAAAAA_sGAAAAAAAgAC1nPsU7OBNACUhOUAIqhAIQABrwAV8C6_8E3RYFthvR_8oV4v-B7Rz_NBfyAOcU9gHV4O0A3fHT_9brDQDUFwYAjhUIAtgP3QAhBgcADuQW__3zJAAb_twAK9skAigJ-ADpE_X_AR8n_zLfF_019hMA_vT7_BHvBgHa5tIBuPrtAv8EKAAb-hL9GPf5_N0gHAb0JRQD_PoWAd0P-v_RC__-GfgH_v0f3AQjAOgC8Rcj_Ssl_v8AAR0C9vjv_NsYGADm_QL78fn-BQ0I_wjcCQ38DzIVAf4bBwfp2fb49xP49A_-8fv6DxAJ--oECPXm-AXd-wn59AQQ-tsj_QQJAgP4B_0D7SAALUFaJTs4E0AJSGFQAirPBxAAGsAH7NnzvhMhvzyK1Eo9tGREPJdKmT3TjtE8XyV_vRSvMjwZopK7eeX6PSWwuT2oIvA8OGmKvtEMPTztrn08_b10PpJUS70Dsew8WMfRvQy8iTxsA3y98C7MvStphbwczny804i0vb1xUjxi6JI9WvTOPcLybD0_OOG6YP1kvXm5bbp4fLm72fWRPbzTGbwJdrK8KBD2PfbflDwc1q-8007tPXVADb2daR29Ib_IvMX_ALsh3Zk8lWYOvSmdo7xE2zE8QwR3PD9FlD0A1S68KEJvvULRp72hf6e7yRpKOgoxpz3TO407PsRwvZXlNTwGjyU88G5gPVtVO71W2Ge8DVMrvlyypjtiujW8Iv0WPla1Kb0jdli7JrrIvU8-nDvFiKs7BfOcPfd4AT2Wu4W8LuciPsGquj2qvkC6pXQfuyOekbyFwUY85s0RPiP7Oz1Wd3a8VBd1vehELL2aMTs8CbvROxy2zT3vekS80m0OvUiSmz043Q-8C6qXvFijw7v2CDW8d6m3PQQJJb1xhYE8e3FdPRd0jD0LQtw7FqZPPVBDKr1_LAY7TaYlPWp5bz3r2BA8kWT2PWmjX7wAk5K7hR52vdCzGb3IaT68bCZfPevgxTwx2g86mborvEyHczxnH_E7X6IwvJAtkL2QE6a7zDe8vQp5jrwIxO87gbEduxZKC72x0rC7R7maPWNWObxeBow7axVYvHJKJb1-IDO7DqqTPQnr9bwqL7861wZdvGdKRrzAAjm7aM_lvHYwhzx-nxq7NJe1Pbqp3LzmWHi4CvcKPc8GKj32rb05TLMvPG_24rz2aMc4wOeXPaWCaj0huYO5u-elPL-YEr3iYwI6yuYiureU7rmjs1Y6JCYtvbQjEzv6bN24VfAAPaDVUz2cV5O5CNOWPVeHTb2AeQm5YB3HPDaxGz1eFFm4c9h9vMJHub0Wm_u45iqMPLXknL186IM4sa6VvcAzKz1IgL43K7R_uz-G8zx0F4-4rUA-PPwFlrto8pk4GDxRPQse8DwLgwG3dMQOPPl0Sz0yFeC44s-bvTNQ-b1Gyg24lF9Hug1nBjweMWU3bcX-vaLUPr0aL_S4SYxUvO9KjL15K9c2oM5rPc0muLuuq703KZIfvrT0or2HQag4Qe63PTxh07tBGfy4veMEPsnNS73m6KQ417OxPNLA8rq8Kre1xVTaPRywcD3TmwA4Mu6sPVwmvr3sakM3Iv_sPTUpBT7zflu4ZlwCvXQWTD2AeJi4cuKGPEvUAb2ZdK823ZNMPSfU_Lr8ede3IAA4E0AJSG1QASpzEAAaYBvyABLvIcXsJFTf588BFt7tF8EczQf_Ib3_1gr0CxYNxIEO-_8s2Bf1mwAAACQ32yTmAOh71fvoAc0mBrzKyDcLejDdFtgvCv-5ySv07vL5FDI0RwAtwtT-SySjUxvdRiAALQdGEjs4E0AJSG9QAiqvBhAMGqAGAACAwQAAAAAAAKBBAABAwAAACEIAAOBAAABIQgAAYMEAAI7CAABAwAAA-EEAAEDCAABcwgAAMMIAACDBAAB4wgAAuMEAAODAAAAQQQAAuEEAACRCAACQwgAAwEAAAHjCAAAAwAAAAAAAALjCAABgQQAAQMAAANBBAAAYwgAAcEEAABTCAAAwQQAAlsIAAAjCAAAAwgAAsEIAAOBAAAAIQgAAyEEAABBBAACaQgAAikIAABxCAAAswgAAgEAAAJDBAABIQgAAOMIAACDCAAAEwgAABEIAAKjBAABgwQAAgEEAAADDAAAgQgAAIEEAAIxCAABwQgAAsEEAAKhBAAA8wgAABMIAAJhBAACgwAAAiMEAAABCAACAvwAAJEIAAIBCAABcwgAAOEIAADDBAAC2wgAAaMIAALhBAACowQAAQMEAAI7CAAAAQgAAREIAABBBAACYQQAAyEEAACDBAABUQgAAdEIAAJBCAACQwQAA2EEAAEBBAABAwgAAaEIAAJrCAAC4wQAAKEIAAOBBAACgwgAAiMEAAIA_AACAwQAAHMIAAFTCAAAAQQAAoMAAAMjBAABwQgAAcEEAABhCAAAwwQAAlMIAAJDCAADAQgAAYMEAAJjBAAAswgAAOEIAAABAAACYwQAAMEEAAABAAABUwgAAqEEAADBCAAAAAAAASMIAADTCAAAwwQAAwEAAAFBCAADAwQAAcEIAALpCAAAAwQAAoMEAAGBBAAAMwgAAgMEAAIDAAADAQQAAiEEAAIDAAAAsQgAAQMEAACBBAABAwQAAqMEAADBBAABwQQAAgL8AAHjCAAAUwgAAWEIAAMDAAABAwAAAVMIAAMjBAADYQQAAgsIAALBBAABgQQAAcEEAAHDBAAAcwgAAuEEAACRCAABYQgAAcEIAAAjCAADwQQAANMIAAEDBAADAwQAAwMAAANDBAABEwgAAgL8AAIxCAACowQAA4MEAAGjCAACgwQAAgEEAAAjCAADAwQAA_kIAAPBBAAAAQAAAAMEAAODBAACowQAAkEEAAABBAAAsQgAAQEEAAFjCAABkwgAA4MAgADgTQAlIdVABKo8CEAAagAIAABQ-AACYPQAAgj4AAKi9AABwPQAAkj4AAIA7AAA3vwAAyr4AADQ-AAB0vgAAED0AAKA8AABUPgAA4DwAAGy-AAAcPgAAML0AAIg9AAD6PgAAfz8AACw-AABQPQAAjj4AAKA8AADYvQAAHD4AAFS-AAAQvQAA2D0AAEA8AACovQAAiD0AAES-AADYPQAAbL4AAJg9AADIvQAAjr4AAEA8AACWvgAAgj4AAMg9AADgvAAAoDwAADQ-AADGPgAAJL4AAEC8AAC6vgAADD4AACS-AAB8PgAAfD4AAHS-AAAwvQAANz8AADA9AAAEvgAAUD0AAEQ-AACWPgAAJD4AAEy-IAA4E0AJSHxQASqPAhABGoACAAD-vgAAVD4AAFA9AAAXvwAAiL0AAEy-AABAPAAAoLwAAOC8AABAvAAAJL4AAES-AABUvgAARL4AAOg9AADgvAAAFL4AAFc_AAA0PgAApj4AAAQ-AABEvgAAML0AADC9AADovQAAJL4AAJg9AADoPQAAND4AAKi9AABAPAAAUD0AAIC7AAAEvgAAND4AAOC8AABAvAAAXD4AAFy-AACoPQAADD4AADA9AACoPQAAPL4AAIA7AABAPAAAf78AAES-AACoPQAA2L0AAJg9AACovQAAgDsAAKg9AADCPgAAED0AAKC8AACmPgAANL4AALg9AACAOwAAoLwAAAQ-AACovSAAOBNACUh8UAEwCTgBSgBgAGgA\"}","related_url":"http://www.youtube.com/watch?v=RwTjQmInKmM","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":3456,"cheight":2160,"cratio":1.6,"dups":["16283170334374756564"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"17834018906545603278":{"videoId":"17834018906545603278","docid":"34-8-6-Z9825EF86291A4AD4","description":"Machine Learning: Implementation of the paper "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks" in 100 lines of PyTorch code. Link to the paper....","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/3053207/3f415a963d4f82b0ce091b76ec7eb5c0/564x318_1"},"target":"_self","position":"16","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DVTuA6hy7KCQ","linkTemplate":"/video/preview/17834018906545603278?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning | Convolutional Generative Adversarial Networks in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=VTuA6hy7KCQ\",\"src\":\"serp\",\"rvb\":\"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_E5MEggQkAYAEKyqLARABGniBCAb5DAAAAPH6EgUGBP4BBAAAAvj__gDmAwT9Cf0CAOwJDgP-AAAACAoKBPsAAAABCAH-8f4BAAQH-gj5AAAAAPEAAfgAAAAMDu8C_wEAAOr2DAgDAAAACQoNCQAAAAD8CAEB_P8AAAQBA_wAAAAAC_0M9gAAAAAgAC2ZQNU7OBNACUhOUAIqcxAAGmDiCABRDRL01AUu0O_f7wgd3W77DKL3_wjN__9IF8keH-KHEj0AJ-0FAJcAAABF4McP1wD-f_-1AvoHIOLFw9n-LGPAF9LqDF8b5e0OFiLRNx5BYvsAB_75BnbywkExCyEgAC3q1g47OBNACUhvUAIqrwYQDBqgBgAAkMEAAKBBAADowQAAhkIAANDBAAAAwQAAwEEAAIDCAADgQAAAXMIAAMZCAACIQQAAvsIAABzCAAB8QgAA-MEAACBCAADgwAAAnEIAAIA_AACIQgAA6EEAAKjCAAAAQQAAnkIAAIBAAACawgAAgEAAADBCAACkQgAAoEAAABTCAABYwgAAQEIAAIjBAACAPwAA2MEAAIhCAAAgQQAAoMAAACRCAACYQgAAkEEAAIBCAABIQgAAkMEAAIbCAAAMwgAArEIAAKDBAADgQQAAEMIAACjCAAAAAAAAbEIAABxCAABIwgAA4EAAACDCAACIQgAAHEIAAIjBAADQwQAAEMEAADTCAACCQgAAoEEAAAAAAACAwQAAIMEAAIA_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-AABMPgAAED0AAJg9AAAMvgAAN78AAAW_AAAwvQAAfL4AAIi9AACAOwAAij4AACS-AAAcvgAAVD4AAIA7AACCPgAALT8AAH8_AADgvAAAcD0AAHC9AAA0PgAAmL0AAIg9AACCvgAAgLsAAEA8AAAkPgAAHL4AAMg9AAAMvgAAmD0AADC9AADgPAAAXL4AAHy-AAAcvgAAVL4AACQ-AABEPgAA2L0AAHC9AAAUPgAABz8AAGS-AABAvAAAir4AAFC9AACevgAAZD4AAOA8AAB0vgAA4LwAAFE_AAD4PQAAiD0AANi9AABAvAAAsj4AAIA7AAAEviAAOBNACUh8UAEqjwIQARqAAgAAzr4AAGQ-AADYPQAAEb8AAMi9AABMvgAAUL0AAOC8AABwvQAAgDsAACS-AADovQAAFL4AACy-AAAkPgAAQDwAAOC8AABHPwAA6D0AAKo-AABQvQAAgDsAAFS-AACgPAAAXL4AAEy-AAD4PQAAMD0AAEC8AADgPAAAmD0AADQ-AAAEvgAAND4AAII-AABQPQAAND4AANg9AAC6vgAAEL0AAES-AAA8PgAAkr4AAKg9AADYvQAAgDsAAH-_AAA8vgAA4LwAAIa-AABQPQAAgDsAADA9AAB0PgAAZD4AAAQ-AAAwPQAAhj4AAFC9AACoPQAAoLwAAKg9AAAcPgAAbL4gADgTQAlIfFABMAk4AUoAYABoAA,,\"}","related_url":"http://www.youtube.com/watch?v=VTuA6hy7KCQ","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["17834018906545603278"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"995082966049420890":{"videoId":"995082966049420890","docid":"34-9-0-Z45A084615E989CE8","description":"Machine Learning: Implementation of the paper "NeRF−−: Neural Radiance Fields Without Known Camera Parameters" in 100 lines of PyTorch code. Link to the paper: https://arxiv.org/abs/2102.07...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/2713901/74a971fd73b4c31d208e2f31f0c82fd3/564x318_1"},"target":"_self","position":"17","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DCf63bTpbt0s","linkTemplate":"/video/preview/995082966049420890?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"NeRF-- in 100 lines of PyTorch code | NeRF#5","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=Cf63bTpbt0s\",\"src\":\"serp\",\"rvb\":\"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_gIA7wML-_wBAAH9CPf8-P79AOjzDvkD_gEAEPT0B_0AAAAS-fT__QAAAO0CAPH_AQAAEQcBDPUAAAAA9_0BAQAAAAYB_f7_AQAA8A_4_QMAAAAM_v0BAAAAAAUH8wEAAAAADfoGBAAAAAAFBQH2AAAAACAALV2u2Ds4E0AJSE5QAipzEAAaYPIMACbDHg3kJyHq8LwFSBz-9fLu5v__ILwA3Cv4BR478Zcb-wA31gAGqAAAAPwg1RXhAPBmDPwkCABH6eHP8wkbf-YPxTg6Qg7-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_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-AAAvvwAA5r4AAIA7AACevgAA4DwAAPg9AAAsPgAAJL4AADS-AACAuwAAqD0AAHA9AAAPPwAAfz8AAIi9AACAuwAA2L0AABQ-AAAMvgAAFD4AAHS-AADYPQAAJD4AAAw-AACYPQAAUL0AAKq-AABAPAAALL4AAJg9AAAwvQAAPL4AAPi9AAA8vgAAuD0AAOg9AACSvgAAcD0AAAw-AACGPgAAQDwAACQ-AACYvQAAiD0AAGy-AAA0PgAAED0AAMi9AACIPQAAZT8AAAy-AABcPgAAMD0AAOA8AAAcPgAADD4AAFS-IAA4E0AJSHxQASqPAhABGoACAADKvgAAuD0AAHA9AABJvwAAUL0AAIq-AADgPAAANL4AAHC9AAAsvgAA2L0AACy-AAAMvgAAfL4AAIg9AADgvAAAkr4AADk_AAAwPQAApj4AALg9AAAcvgAANL4AAAy-AAAsvgAA5r4AAJi9AACAOwAAFD4AAIi9AACoPQAAJD4AAIC7AADIvQAAgj4AADC9AABcPgAAMD0AAJq-AAAcPgAAmL0AACS-AACSvgAAQLwAAEy-AADYPQAAf78AAJq-AAAwvQAAFL4AAOg9AACovQAA-D0AAFA9AACoPQAAqD0AAHC9AACKPgAABD4AAFA9AABAvAAAED0AADA9AABwvSAAOBNACUh8UAEwCTgBSgBgAGgA\"}","related_url":"http://www.youtube.com/watch?v=Cf63bTpbt0s","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["995082966049420890"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"9225444503168391858":{"videoId":"9225444503168391858","docid":"34-6-6-Z8E10D27A167B052C","description":"Machine Learning: Implementation of the paper "Improved Techniques for Training GANs" in 100 lines of PyTorch code. Link to the paper: https://arxiv.org/abs/1606.03498 GitHub...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/3986559/3a86fab79c8ee195c8f65089200192d9/564x318_1"},"target":"_self","position":"18","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DFkYkEBoH-Eo","linkTemplate":"/video/preview/9225444503168391858?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Machine Learning | Improved Techniques for Training GANs in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=FkYkEBoH-Eo\",\"src\":\"serp\",\"rvb\":\"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_QkE_ADnBhADBAH_AAwA7gH1__8A4gLv9gP8AgD2BPX6BAAAAAn9Cf4DAAAA9wb6_fP_AQAYEPUIAwAAABAD_v_8AAAADv_sAf8BAADz5gQJBP8AABUTAQv_AAAADQQBBfv_AAAY_Qn2AQAAAB_-CAsAAQAAIAAtS-THOzgTQAlITlACKnMQABpg2AMAOPL-1uEXNdXzy-Yc_NVDvAzJFP8Y-f_2Nw3PG_rxgRovABDjFxeaAAAAOhWoAAQA83dHyBYW7Qfj0b7d8_po0hXrGEc1B7P1Mgwo2N8fI2YjAA72DhVsytA6Pg0WIAAt5v0UOzgTQAlIb1ACKq8GEAwaoAYAAHBBAAC4QQAAYEEAAGBBAABgwQAA8EEAABhCAADAwQAAVMIAAIA_AAAYQgAARMIAAHBBAAA0wgAAwEAAAMDAAACAQAAAGMIAAGDBAADwQQAAvkIAAAzCAACwQQAAFMIAAIA_AACIQQAANMIAACDBAACIwQAAEMEAADzCAAAAQQAAwMAAAIRCAABAwgAAkMEAACBCAADIQgAAgEEAAEBBAACIQgAA4MEAAIJCAAAAQQAAgMAAACTCAAAwwgAAcEEAAMDAAAA4wgAAoMEAADDCAACSwgAAsMEAAFxCAABQQgAAAMMAACBBAACoQQAAAEIAAJxCAADgwAAAgEAAAIDCAADgQAAAbMIAABDBAABYwgAAgMEAAKDBAACoQQAAEEIAAKzCAADgQAAAMMEAAJjBAAAUwgAAgMAAAJDBAACAQQAAnMIAAEhCAABYwgAAaEIAAABBAABYQgAAgEEAAJhCAACgQAAAhsIAABBCAAA4QgAANEIAAIA_AABwQQAA5MIAAMBAAAAAAAAAcEIAAJLCAAAAAAAAgkIAAPBBAABgQgAAksIAAEBBAACAvwAA6EEAAMBAAAAsQgAA4EAAABzCAACKwgAAQMAAAHxCAAAMQgAAAMEAAILCAADgQAAAAEAAAJBCAAAcwgAAQMAAAHDBAACgwAAAcEEAAIDBAABYwgAA-MEAANDBAAAUwgAAoMEAAGzCAACEQgAAcEIAAMDAAAAgQQAAQMEAAFzCAADowQAAgEIAAKDAAADAwAAAAAAAACBBAAAswgAAgD8AADDBAAAEQgAASEIAADBBAAAwQgAAkMEAAADBAACQQQAAiMEAACjCAAC-wgAAyEEAAJZCAABEwgAAqEEAAJjBAABMwgAAHMIAAEBBAACYQQAAfEIAAEDBAABgwQAABMIAACRCAAD4wQAAyMEAAJzCAACAvwAAIEEAAKhBAADYQQAA4EEAAHDBAACAvwAAkMIAADBBAACQQQAAbEIAABzCAABgQQAAoEAAAIDAAACoQQAAsEEAAExCAAAQQgAABEIAAGhCAADQQQAAKMIAAMBAAABQQSAAOBNACUh1UAEqjwIQABqAAgAAhr4AABC9AABsPgAAkj4AAIA7AAD4PQAAuL0AADW_AABBvwAALL4AAES-AABMvgAADD4AAJI-AACIvQAAgr4AALg9AABQPQAArj4AABk_AAB_PwAAND4AACw-AAAwvQAA4DwAABy-AABEPgAAHL4AAGy-AAAkvgAARD4AACw-AACgvAAA4LwAAHA9AACovQAAmD0AAFy-AACCvgAA4DwAAHS-AADoPQAAND4AADS-AAAEvgAAED0AAJo-AAD4vQAABD4AAL6-AADoPQAARL4AAHw-AAAsPgAAUL0AANi9AABvPwAA6D0AAAQ-AAAUvgAAuL0AAEw-AADgvAAAMD0gADgTQAlIfFABKo8CEAEagAIAAMa-AAAwvQAAyD0AAEW_AABwvQAAgDsAAHS-AADgPAAAfL4AAIi9AACOvgAABL4AABy-AAAcvgAABD4AAOC8AACIvQAAVT8AABQ-AABcPgAA6D0AAIC7AADgvAAA6D0AAIq-AABUvgAA4LwAAOA8AAAkPgAAoDwAALg9AABQPQAABD4AANi9AACCPgAA6D0AABQ-AACYvQAAmr4AAKg9AABkvgAAiD0AACS-AAAwPQAA4LwAAIA7AAB_vwAA4LwAALg9AAC4vQAABD4AAGS-AACoPQAAmj4AABQ-AADIPQAAuD0AAK4-AADgPAAAgDsAANg9AABEPgAALD4AACS-IAA4E0AJSHxQATAJOAFKAGAAaAA,\"}","related_url":"http://www.youtube.com/watch?v=FkYkEBoH-Eo","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":960,"cheight":720,"cratio":1.33333,"dups":["9225444503168391858"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false},"16538697628099942979":{"videoId":"16538697628099942979","docid":"34-0-11-ZC2A6EEC90BE4EE60","description":"Machine Learning: Implementation of the paper "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis" in 100 lines of PyTorch code. Link to the paper...","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/2920179/3c5841b19ff17fb4d1209f9c9c15bd44/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/3mDLRwIAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"19","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","summary":{"fullTextUrl":"/int_search_summary?data=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DQ1zqf5tfeJw","linkTemplate":"/video/preview/16538697628099942979?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"Neural Radiance Fields | NeRF in 100 lines of PyTorch code","related_orig_text":"Papers in 100 Lines of Code","related_porno":false,"related_less_3m_off":true,"client":"d2d","no_cnt":1,"related_src":"serp","related":"{\"porno\":false,\"vfp\":1,\"orig_text\":\"Papers in 100 Lines of Code\",\"url\":\"http:\\/\\/www.youtube.com\\/watch?v=Q1zqf5tfeJw\",\"src\":\"serp\",\"rvb\":\"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_E8kFggQkAYAEKyqLARABGniBDBUGAAT8AOL9C_8J_gH_9AT89_n9_QDf-QT2CPsCAPn09_v4AAAACv33_AMAAAD2_f70-f8AABIIAQ31AAAACfQJ_wYAAAAPA_f-_gEAAPP99QT1AgABCPsHDf8AAAD7A_cC__8AABL4EgAAAAAA_gsB6___AAAgAC0BIMg7OBNACUhOUAIqhAIQABrwAWED1f773ucDtQXcANUN6AGP-g__Pt_hANcG9wHr6NsBvvnIAfX7FQC50vsBgfL_AsL6_f4JDgz_9-4S_wEHKQAACeABD9soATj73QLxDAL-5wj9_xH4Hv8r_gwB-P8BAVUBAP_Z9uQA9vPcBu8NLwIqBg8DHAP8Ag8mAgPqBxb9IRMGAeEhE_-7-gMDGyrtASMixf46CdkA_gQe-CXn7AIRJB4C_ALz-wTtCwTh8hD5-gnv_g4J_wnpDCQD9TMXAwQdEP4Gzv_4BiAI8EIE8_X4EfcBE-D5CgHb9P7l9Pv12f8WBcsSBALbBQP04yT68SAALcpEGDs4E0AJSGFQAirPBxAAGsAHI6LAvm4WTz1idK-8WsitPDPcQD2eYpW8--c5vmLCQzz7rd28zhpsPkYVlD3zIaS79pZivgV4gTx5Pw28Ci9hPhdxsLxB08Y5BwnxvXChYbyOzY67_Qeyvb-txzt7DhO8GBVnvaC8uDog5AY9tWsCPsSTXTugWKO7b7EMvVZbG71SOMy8HF0FPs9rTL0-mK88vFgYPisxrrtvTdW8IOsJPsVt2byqmTW8QRzFvUAo-Tx_XXo7dvk7vf_jKTxLTUw8CXmTPQ3WyTz8jmE85IM_u3wDPb0rDow8r7AgPag3gz2fI808UtshvP2qt7wkUqq7A2iKPXdGQL1Kguw6Y7QevjYWe7t_YFg8nyDxPRAOLL2OESc5IsoSvWTGADv7WSw81J4yvbBlQzx61ws8_p6IPjsNJLvm3OY4D1ZtPYUh17wvPKU85s0RPiP7Oz1Wd3a80Pt1vQRIYbrjOwo864nwOzfjFD7Mf8S6lWJHvOmbFD2x6Iy8u1s-vSmXxrxUmE67DJIuPrAhk72snTS6JsILPVEJ2Ty1a0I8yY5NvVu5cryYgAg8GahxPecKhT0lyXM8kWT2PWmjX7wAk5K7OcV0vKjOOb0hs_G7wz6bPROPNb0lJBI8z8PkPOcyWrzZmd-62L_GvMTeVTx_8TG8zDe8vQp5jrwIxO87ipSBvNFB8jx_b5G7iBT_u8HYrL08is47rc77PA-X3LwcPJc6g8BKPczOprsANwu7mpiuvO4PDDwj3IE7H_TsvFgKljuVkWW7BphePX7rOb0eJc05n2ZUu2963buVQgO7NWkJPZCN9rxYfgM6CShIOX2wjDzf95A6uePoPFrbn72NaEY58MRMPViZPrtsX106OAaevW13Cr1R14k5-71DPXk7gjxXCcq4_Lf9Oksvf7tqCVm3BlODvN2rmz3gAii54pViOxgttr38g1m5y_99O47qdL1T6sA32kKmvTspnT0CL423mFGHvPI5wTwCe1S4qWb7PLRxiT1gz-u46w8evPpj9TwOMja3jv_nvERGDbyp0rK44s-bvTNQ-b1Gyg24pivYPUaYAj2BRn-4d2V3vfH5fL1g1mo4PympvRvW1L24fkG3bTRFPW2arb1W9a04SrYKvmee3L1blvY43-wkO_AWSLw-HBy4SV6nPSvoLLyWgXM3PzCBPULb_zv1A8i3zo7UPUa_DD06LBK4YQZ5PfM6Er5L56m4VRimPW0LxT2Dx-c4gBa2vePYHz2nu8G4ktccvGszKTyWX6u3FqG9PUOnLL3RfTO4IAA4E0AJSG1QASpzEAAaYPr5ADDbHdcFSCXZA7AMNhIQBugM1BL_AqT_4Sb-9BQk-YEU9f8vvgwZngAAACIN4CPoAB95-vEEDO0yzQ6b9jj-aAL6LwY7K0rs6z3u9_ISCQJCFwAZubkpR_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-AAA5vwAA6r4AADw-AACWvgAA4LwAAOg9AACmPgAADD4AAGS-AABwPQAAMD0AACw-AAC2PgAAfz8AAIi9AAB0PgAAuL0AACw-AAAkvgAAyD0AAPi9AAAUPgAAyD0AAKg9AACIPQAAyD0AACS-AABAvAAA2L0AAIA7AABwvQAAfL4AALi9AAAcvgAAij4AADQ-AACavgAAMD0AAMg9AAB8PgAAyD0AABw-AABUvgAAyD0AAIK-AABcPgAAQDwAAPi9AABQPQAAWT8AABS-AADoPQAAuD0AABw-AABQPQAAVD4AAFC9IAA4E0AJSHxQASqPAhABGoACAADavgAAND4AAGQ-AABRvwAAmD0AAGS-AADgPAAAgr4AABC9AADYvQAAHL4AAIA7AABAvAAA-L0AALg9AABQvQAA0r4AAEE_AAD4PQAAqj4AAAw-AAAcvgAABL4AAMi9AAA8vgAACb8AAAQ-AADoPQAABD4AAEA8AABwPQAADD4AAHC9AABUvgAAiD0AADC9AAAkPgAAMD0AAJ6-AACoPQAAbL4AAAy-AAAcvgAAqD0AAFA9AACYvQAAf78AAFy-AAAsPgAA-D0AALg9AAAQPQAAUD0AANg9AABQPQAA-D0AAJi9AABsPgAABD4AABA9AAAcPgAARD4AAGw-AACOviAAOBNACUh8UAEwCTgBSgBgAGgA\"}","related_url":"http://www.youtube.com/watch?v=Q1zqf5tfeJw","parent-reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","related_vfp":1,"relatedVideo":"yes"},"cwidth":3456,"cheight":2160,"cratio":1.6,"dups":["16538697628099942979"],"episode":0,"season":0,"isEmbedOnly":false,"greenHost":"YouTube","hasTranslation":true,"contentTypeId":null,"censored":false}},"dups":{"11834115336142736857":{"videoId":"11834115336142736857","title":"DQN \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007]","cleanTitle":"DQN in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=UvElGVu0cvo","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/UvElGVu0cvo?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":1083,"text":"18:03","a11yText":"Süre 18 dakika 3 saniye","shortText":"18 dk."},"views":{"text":"1,5bin","a11yText":"1,5 bin izleme"},"date":"30 kas 2024","modifyTime":1732924800000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/UvElGVu0cvo?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=UvElGVu0cvo","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":1083},"parentClipId":"11834115336142736857","href":"/preview/11834115336142736857?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/11834115336142736857?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"1594205865534033685":{"videoId":"1594205865534033685","title":"Machine Learning \u0007[Papers\u0007]: Multiplicative Filter Networks \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch ...","cleanTitle":"Machine Learning Papers: Multiplicative Filter Networks in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=o4_OYWxGrnk","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/o4_OYWxGrnk?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":589,"text":"9:49","a11yText":"Süre 9 dakika 49 saniye","shortText":"9 dk."},"date":"18 şub 2023","modifyTime":1676678400000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/o4_OYWxGrnk?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=o4_OYWxGrnk","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":589},"parentClipId":"1594205865534033685","href":"/preview/1594205865534033685?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/1594205865534033685?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"9552960472160944296":{"videoId":"9552960472160944296","title":"Generative Adversarial Nets (GANs) \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] \u0007[code\u0007] | PyTorch","cleanTitle":"Generative Adversarial Nets (GANs) in 100 lines of code | PyTorch","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=KTaC1cMPGcQ","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/KTaC1cMPGcQ?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":594,"text":"9:54","a11yText":"Süre 9 dakika 54 saniye","shortText":"9 dk."},"date":"29 eki 2022","modifyTime":1667001600000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/KTaC1cMPGcQ?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=KTaC1cMPGcQ","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":594},"parentClipId":"9552960472160944296","href":"/preview/9552960472160944296?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/9552960472160944296?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"1132737328642990979":{"videoId":"1132737328642990979","title":"DQN with Target Network \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007]","cleanTitle":"DQN with Target Network in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=atqneVERSMg","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/atqneVERSMg?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":995,"text":"16:35","a11yText":"Süre 16 dakika 35 saniye","shortText":"16 dk."},"date":"14 ara 2024","modifyTime":1734134400000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/atqneVERSMg?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=atqneVERSMg","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":995},"parentClipId":"1132737328642990979","href":"/preview/1132737328642990979?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/1132737328642990979?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"2343614745901827860":{"videoId":"2343614745901827860","title":"Machine Learning | Conditional Generative Adversarial Nets \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007...","cleanTitle":"Machine Learning | Conditional Generative Adversarial Nets in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=HzFdOXOOORU","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/HzFdOXOOORU?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":490,"text":"8:10","a11yText":"Süre 8 dakika 10 saniye","shortText":"8 dk."},"date":"3 ara 2022","modifyTime":1670025600000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/HzFdOXOOORU?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=HzFdOXOOORU","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":490},"parentClipId":"2343614745901827860","href":"/preview/2343614745901827860?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/2343614745901827860?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"16039984441589190284":{"videoId":"16039984441589190284","title":"Machine Learning: ADAM \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007]","cleanTitle":"Machine Learning: ADAM in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=GyCGtzoCiQY","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/GyCGtzoCiQY?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":381,"text":"6:21","a11yText":"Süre 6 dakika 21 saniye","shortText":"6 dk."},"views":{"text":"1,1bin","a11yText":"1,1 bin izleme"},"date":"4 mar 2023","modifyTime":1677888000000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/GyCGtzoCiQY?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=GyCGtzoCiQY","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":381},"parentClipId":"16039984441589190284","href":"/preview/16039984441589190284?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/16039984441589190284?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"3926365567939586742":{"videoId":"3926365567939586742","title":"Machine Learning to generate human faces — Auto-Encoding Variational Bayes \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] ...","cleanTitle":"Machine Learning to generate human faces — Auto-Encoding Variational Bayes in 100 lines of code.","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=jvDFn0qPCM0","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/jvDFn0qPCM0?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":422,"text":"7:02","a11yText":"Süre 7 dakika 2 saniye","shortText":"7 dk."},"views":{"text":"1,3bin","a11yText":"1,3 bin izleme"},"date":"25 eki 2020","modifyTime":1603584000000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/jvDFn0qPCM0?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=jvDFn0qPCM0","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":422},"parentClipId":"3926365567939586742","href":"/preview/3926365567939586742?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/3926365567939586742?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"6000210466739674287":{"videoId":"6000210466739674287","title":"C# Tutorial - Make a Rock \u0007[Paper\u0007] Scissors Game \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] \u0007[code\u0007] with .NET","cleanTitle":"C# Tutorial - Make a Rock Paper Scissors Game in 100 lines of code with .NET","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=0Tu29ZzYDL0","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/0Tu29ZzYDL0?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDbnRYR3ljMHlsTkpLczYwVlNQY0l5Zw==","name":"Moo ICT","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Moo+ICT","origUrl":"http://www.youtube.com/@mooict","a11yText":"Moo ICT. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":1142,"text":"19:02","a11yText":"Süre 19 dakika 2 saniye","shortText":"19 dk."},"views":{"text":"6,1bin","a11yText":"6,1 bin izleme"},"date":"24 tem 2022","modifyTime":1658620800000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/0Tu29ZzYDL0?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=0Tu29ZzYDL0","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":1142},"parentClipId":"6000210466739674287","href":"/preview/6000210466739674287?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/6000210466739674287?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"9537717658638289085":{"videoId":"9537717658638289085","title":"On First-Order Meta-Learning Algorithms | Reptile \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007]","cleanTitle":"On First-Order Meta-Learning Algorithms | Reptile in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=PcA-JRtfan4","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/PcA-JRtfan4?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":510,"text":"8:30","a11yText":"Süre 8 dakika 30 saniye","shortText":"8 dk."},"views":{"text":"1,3bin","a11yText":"1,3 bin izleme"},"date":"5 kas 2022","modifyTime":1667606400000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/PcA-JRtfan4?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=PcA-JRtfan4","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":510},"parentClipId":"9537717658638289085","href":"/preview/9537717658638289085?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/9537717658638289085?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"154442638931149537":{"videoId":"154442638931149537","title":"Instant NGP \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007] | NeRF #13","cleanTitle":"Instant NGP in 100 lines of PyTorch code | NeRF #13","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=PXbPeG5PJd0","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/PXbPeG5PJd0?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":1247,"text":"20:47","a11yText":"Süre 20 dakika 47 saniye","shortText":"20 dk."},"views":{"text":"2,9bin","a11yText":"2,9 bin izleme"},"date":"4 mayıs 2024","modifyTime":1714780800000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/PXbPeG5PJd0?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=PXbPeG5PJd0","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":1247},"parentClipId":"154442638931149537","href":"/preview/154442638931149537?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/154442638931149537?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"13694062751257850311":{"videoId":"13694062751257850311","title":"Machine Learning: Rectified ADAM \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007]","cleanTitle":"Machine Learning: Rectified ADAM in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=dDp0jBWiHQM","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/dDp0jBWiHQM?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":369,"text":"6:09","a11yText":"Süre 6 dakika 9 saniye","shortText":"6 dk."},"date":"11 mar 2023","modifyTime":1678492800000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/dDp0jBWiHQM?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=dDp0jBWiHQM","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":369},"parentClipId":"13694062751257850311","href":"/preview/13694062751257850311?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/13694062751257850311?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"9931981497227056626":{"videoId":"9931981497227056626","title":"Machine Learning | Least Squares Generative Adversarial Networks \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyT...","cleanTitle":"Machine Learning | Least Squares Generative Adversarial Networks in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=OOOLhKVxP-k","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/OOOLhKVxP-k?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":752,"text":"12:32","a11yText":"Süre 12 dakika 32 saniye","shortText":"12 dk."},"date":"17 ara 2022","modifyTime":1671235200000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/OOOLhKVxP-k?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=OOOLhKVxP-k","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":752},"parentClipId":"9931981497227056626","href":"/preview/9931981497227056626?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/9931981497227056626?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"61381596392521659":{"videoId":"61381596392521659","title":"Neural Radiance Fields at High FPS | FastNeRF \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007]","cleanTitle":"Neural Radiance Fields at High FPS | FastNeRF in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=1OsRruZmAaM","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/1OsRruZmAaM?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":742,"text":"12:22","a11yText":"Süre 12 dakika 22 saniye","shortText":"12 dk."},"views":{"text":"2,8bin","a11yText":"2,8 bin izleme"},"date":"14 oca 2023","modifyTime":1673654400000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/1OsRruZmAaM?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=1OsRruZmAaM","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":742},"parentClipId":"61381596392521659","href":"/preview/61381596392521659?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/61381596392521659?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"16283170334374756564":{"videoId":"16283170334374756564","title":"Normalizing Flows | NICE: Non-\u0007[linear\u0007] Independent Components Estimation \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] ...","cleanTitle":"Normalizing Flows | NICE: Non-linear Independent Components Estimation in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=RwTjQmInKmM","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/RwTjQmInKmM?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":504,"text":"8:24","a11yText":"Süre 8 dakika 24 saniye","shortText":"8 dk."},"views":{"text":"1,1bin","a11yText":"1,1 bin izleme"},"date":"10 ara 2022","modifyTime":1670630400000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/RwTjQmInKmM?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=RwTjQmInKmM","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":504},"parentClipId":"16283170334374756564","href":"/preview/16283170334374756564?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/16283170334374756564?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"17834018906545603278":{"videoId":"17834018906545603278","title":"Machine Learning | Convolutional Generative Adversarial Networks \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyT...","cleanTitle":"Machine Learning | Convolutional Generative Adversarial Networks in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=VTuA6hy7KCQ","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/VTuA6hy7KCQ?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":531,"text":"8:51","a11yText":"Süre 8 dakika 51 saniye","shortText":"8 dk."},"date":"24 ara 2022","modifyTime":1671840000000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/VTuA6hy7KCQ?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=VTuA6hy7KCQ","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":531},"parentClipId":"17834018906545603278","href":"/preview/17834018906545603278?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/17834018906545603278?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"995082966049420890":{"videoId":"995082966049420890","title":"NeRF-- \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007] | NeRF#5","cleanTitle":"NeRF-- in 100 lines of PyTorch code | NeRF#5","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=Cf63bTpbt0s","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/Cf63bTpbt0s?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":1468,"text":"24:28","a11yText":"Süre 24 dakika 28 saniye","shortText":"24 dk."},"views":{"text":"2,2bin","a11yText":"2,2 bin izleme"},"date":"22 nis 2023","modifyTime":1682121600000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/Cf63bTpbt0s?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=Cf63bTpbt0s","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":1468},"parentClipId":"995082966049420890","href":"/preview/995082966049420890?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/995082966049420890?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"9225444503168391858":{"videoId":"9225444503168391858","title":"Machine Learning | Improved Techniques for Training GANs \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[c...","cleanTitle":"Machine Learning | Improved Techniques for Training GANs in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=FkYkEBoH-Eo","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/FkYkEBoH-Eo?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":651,"text":"10:51","a11yText":"Süre 10 dakika 51 saniye","shortText":"10 dk."},"date":"19 kas 2022","modifyTime":1668816000000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/FkYkEBoH-Eo?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=FkYkEBoH-Eo","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":651},"parentClipId":"9225444503168391858","href":"/preview/9225444503168391858?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/9225444503168391858?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false},"16538697628099942979":{"videoId":"16538697628099942979","title":"Neural Radiance Fields | NeRF \u0007[in\u0007] \u0007[100\u0007] \u0007[lines\u0007] \u0007[of\u0007] PyTorch \u0007[code\u0007]","cleanTitle":"Neural Radiance Fields | NeRF in 100 lines of PyTorch code","host":{"title":"YouTube","href":"http://www.youtube.com/watch?v=Q1zqf5tfeJw","playerUri":"\u003ciframe src=\"//www.youtube.com/embed/Q1zqf5tfeJw?enablejsapi=1&wmode=opaque\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"1\" allow=\"autoplay; fullscreen; accelerometer; gyroscope; picture-in-picture\" aria-label=\"Video\">\u003c/iframe>","playerId":"youtube","providerName":"youtube.com","sourceHost":"www.youtube.com","name":"youtube.com","secondPart":{"type":"CHANNEL","id":"d3d3LnlvdXR1YmUuY29tO1VDclp0M016TU1zd2pnV2NVQ3JpUTYxdw==","name":"Papers in 100 Lines of Code","isVerified":false,"subscribersCount":0,"url":"/video/search?text=Papers+in+100+Lines+of+Code","origUrl":"http://www.youtube.com/@papersin100linesofcode","a11yText":"Papers in 100 Lines of Code. "},"faviconUrl":"//favicon.yandex.net/favicon/v2/http%3A%2F%2Fyoutube.com?color=255%2C255%2C255%2C0&size=32&stub=1"},"duration":{"value":713,"text":"11:53","a11yText":"Süre 11 dakika 53 saniye","shortText":"11 dk."},"views":{"text":"22,2bin","a11yText":"22,2 bin izleme"},"date":"7 oca 2023","modifyTime":1673049600000,"isExternal":false,"player":{"embedUrl":"https://www.youtube.com/embed/Q1zqf5tfeJw?autoplay=1&enablejsapi=1&wmode=opaque","playerId":"youtube","videoUrl":"http://www.youtube.com/watch?v=Q1zqf5tfeJw","reqid":"1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL","duration":713},"parentClipId":"16538697628099942979","href":"/preview/16538697628099942979?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","rawHref":"/video/preview/16538697628099942979?parent-reqid=1765343630117402-14644508539277612075-balancer-l7leveler-kubr-yp-klg-142-BAL&text=Papers+in+100+Lines+of+Code","isEmbedOnly":false,"shouldPlayInstreamPreroll":false}}},"viewer":{"_isInitial":false,"clips":{"items":{},"dups":{},"loadingStatus":"None"},"internal":{"videoId":"","sandboxEventPrefix":"sandbox:","sandboxVersion":"0x001cd987dbd","isEmbedded":false,"from":"yavideo","service":"ya-video","hbPeriod":30,"table":"video_tech","isInstreamDisabled":false,"nonce":"6445085392776120757142","errorList":[],"isAdultAdv":false,"isImportantCommonAdv":false,"shouldShowAdvId":false,"advConfig":{"under-player":{"regular":{"default":"R-I-48058-725","mail":"R-A-13411721-6"},"adult":{"default":"R-I-474674-114","mail":"R-A-13426421-6"}},"under-player-lite":{"regular":{"default":"R-I-48058-728"},"adult":{"default":"R-I-474674-103"}},"under-player-old":{"regular":{"default":"R-I-48058-725","mail":"R-A-13411721-6"},"adult":{"default":"R-I-474674-114","mail":"R-A-13426421-6"}},"video-list":{"regular":{"default":"R-I-48058-708","mail":"R-A-13411721-2"},"adult":{"default":"R-I-474674-101","mail":"R-A-13426421-2"}},"search-list":{"regular":{"default":"R-I-48058-715","mail":"R-A-13411721-3"},"adult":{"default":"R-I-474674-108","mail":"R-A-13426421-3"}},"search-grid-row":{"regular":{"default":"R-I-48058-718","mail":"R-A-13411721-4"},"adult":{"default":"R-I-474674-109","mail":"R-A-13426421-4"}},"search-grid-head":{"regular":{"default":"R-I-2120168-7"}},"search-list-right":{"regular":{"default":"R-I-8843654-1"}},"before-player-old":{"regular":{"default":"R-I-2120168-1"}},"before-player":{"regular":{"default":"R-I-2120168-1"}},"search-grid-inplace":{"adult":{"default":"R-I-474674-126","mail":"R-A-13426421-16"},"regular":{"default":"R-I-48058-742","mail":"R-A-13411721-16"}}},"shouldValidateSandbox":false,"sandboxInitTimeout":15000,"isSSROnlyMastheadEnabled":true,"query":"Papers in 100 Lines of Code","queryUriEscaped":"Papers%20in%20100%20Lines%20of%20Code","filterMode":1,"isUserChild":false,"advInstreamConfig":{"regular":{"default":{"category":"2","impId":"7","partnerId":"2216089","vmapScenarioId":"119"}},"adult":{"default":{"category":"3","impId":"4","partnerId":"1988486","vmapScenarioId":"119"}}}},"playbackQueue":{"currentIndex":0,"items":[]},"related":{"items":[],"pages":[],"loadingStatus":"None","nextPageNum":0,"ncrnd":0},"playlist":{"items":{}},"delayedViews":{"ids":[],"loadingStatus":"None"}}}