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  SingSong: Generating musical accompaniments from singing (Online Supplement)

  11 users

  storage.googleapis.com

  SingSong: Generating musical accompaniments from singing |paper| Chris Donahue*, Antoine Caillon*1, Adam Roberts*, Ethan Manilow, Philippe Esling1, Andrea Agostinelli, Mauro Verzetti, Ian Simon, Olivier Pietquin, Neil Zeghidour, Jesse Engel Google Research, 1IRCAM, *Equal Contribution Overview We present SingSong, a system which generates instrumental music to accompany input vocals, potentially o

  • テクノロジー
  • 2023/01/31 17:16

  • music
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• あとで読む

  Solving Quantitative Reasoning Problems With Language Models

  9 users

  storage.googleapis.com

  Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz∗, Anders Andreassen†, David Dohan†, Ethan Dyer†, Henryk Michalewski†, Vinay Ramasesh†, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur∗, Guy Gur-Ari∗, and Vedant Misra∗ Google Research Abstract Language models have achieved remarkable performance on a wide range of tasks that require

  • テクノロジー
  • 2022/07/01 21:28

  • 論文
  • AI
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  https://storage.googleapis.com/varp-jf2022-backend.appspot.com/common/offensive_words.json

  3 users

  storage.googleapis.com

  • 学び
  • 2021/12/18 15:40

  • api
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  https://storage.googleapis.com/prd-about-asset-2020/2021/02/c19a9ab4--1.pdf

  4 users

  storage.googleapis.com

  • 学び
  • 2021/02/26 10:24

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• あとで読む

  https://storage.googleapis.com/prd-about-asset-2020/2021/02/e0c40bd6-.pdf

  25 users

  storage.googleapis.com

  • 学び
  • 2021/02/25 23:36

  • マネジメント
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• あとで読む

  Chimera Painter

  31 users

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  Chimera Painter is a demo that lets you run wild by drawing out creature shapes that become fully fleshed out by our CreatureGAN machine learning model, which was trained on hundreds of thousands of 2D renders of 3D creature models. The model looks at the body parts you drew on your creature and uses them to decide how to style it for you. Painting is a highly creative, iterative process. What can

  • テクノロジー
  • 2020/11/18 08:42

  • generator
  • google
  • *fantasic
  • service
  • ai
  • イラスト
  • IT
  • web
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  https://storage.googleapis.com/covid-external/COVID-19ForecastFairnessAnalysisJapan.pdf

  3 users

  storage.googleapis.com

  • 世の中
  • 2020/11/17 12:39
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  https://storage.googleapis.com/covid-external/COVID-19ForecastWhitePaper.pdf

  12 users

  storage.googleapis.com

  • 世の中
  • 2020/11/17 12:36

  • COVID-19
  • データ
  • AI
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  https://storage.googleapis.com/covid-external/COVID-19ForecastUserGuideJapan_Japanese.pdf

  3 users

  storage.googleapis.com

  • 学び
  • 2020/11/17 09:23

  • データ
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  Japanese Language Analysis by GPU Ready Open Source NLP Frameworks

  9 users

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  Japanese Language Analysis by GPU Ready Open Source NLP Frameworks Hiroshi Matsuda GPU Technology Conference 2020 1 This document is published under CC BY 4.0 license from Megagon Labs, Recruit Co., Ltd. Contents 自然言語処理技術の進歩とGPUが与えた影響  ルールベースからTransformersまで NLP Frameworkを用いた日本語の解析  世界の全言語を統一的に扱うUniversal Dependenciesとその日本語化  GiNZAの文節API GPU Ready OSS NLP Frameworks  spaCy v2.3 → v3.0  Stanza

  • テクノロジー
  • 2020/10/07 15:08

  • HotEntry
  • 機械学習
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  https://storage.googleapis.com/gweb-uniblog-publish-prod/documents/Daily_Plan_-_External.pdf

  17 users

  storage.googleapis.com

  • テクノロジー
  • 2020/03/31 00:28

  • development
  • 仕事
  • 開発
  • プログラミング
  • javascript
  • google
  • web
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• あとで読む

  Differentiable Digital Signal Processing: Online Supplement

  4 users

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  DDSP: Differentiable Digital Signal Processing Online Supplement Overview Differentiable Digital Signal Procressing (DDSP) enables direct integration of classic signal processing elements with end-to-end learning, utilizing strong inductive biases without sacrificing the expressive power of neural networks. This approach enables high-fidelity audio synthesis without the need for large autoregressi

  • エンタメ
  • 2019/12/17 06:29

  • 音楽
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  https://storage.googleapis.com/gweb-uniblog-publish-prod/documents/How_Google_Fights_Disinformation.pdf

  3 users

  storage.googleapis.com

  • テクノロジー
  • 2019/08/06 11:15

  • SEO
  • google
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  Open Images Challenge 2019

  3 users

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  Open Images Challenge 2019 was held in 2019. For the evaluation details and Open Images Challenge as a part of Robust Vision Challenge 2020 please refer to this page! Overview of the Open Images Challenge 2019 Continuing the series of Open Images Challenges, the 2019 edition will be held at the International Conference on Computer Vision 2019. The challenge is based on the V5 release of the Open I

  • 暮らし
  • 2019/05/09 19:48
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  https://storage.googleapis.com/vt-gtm-wp-media/virustotal-for-investigators.pdf

  3 users

  storage.googleapis.com

  • 世の中
  • 2019/04/14 06:50
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  BodyPix - With a Webcam Demo

  4 users

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  The BodyPix model can estimate which pixels in an image are part of a person, and which pixels are part of each of 24 body parts. It works for multiple people in an input image or video. The internal resolution, output stride and model have the largest effects on accuracy/speed. A higher internal resolution results in higher accuracy but lower the speed. A higher output stride results in lower acc

  • 世の中
  • 2019/02/16 06:29

  • デモ
  • ブラウザ
  • 人物
  • カメラ
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• あとで読む

  https://storage.googleapis.com/surugabank/20180907_3.pdf

  3 users

  storage.googleapis.com

  • 学び
  • 2018/09/07 21:32
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  スルガ銀行｜第三者委員会調査報告書（要約版）（418KB）

  4 users

  storage.googleapis.com

  • 世の中
  • 2018/09/07 17:44
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  NEXT TPU

  7 users

  storage.googleapis.com

  /

  • テクノロジー
  • 2018/09/02 20:16

  • deeplearning
  • gpu
  • slide
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  PoseNet - Camera Feed Demo

  3 users

  storage.googleapis.com

  PoseNet runs with either a single-pose or multi-pose detection algorithm. The single person pose detector is faster and more accurate but requires only one subject present in the image. The output stride and input resolution have the largest effects on accuracy/speed. A higher output stride results in lower accuracy but higher speed. A higher image scale factor results in higher accuracy but lower

  • テクノロジー
  • 2018/05/08 19:16
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  Open Images V7

  27 users

  storage.googleapis.com

  Open Images Dataset V7 and Extensions 15,851,536 boxes on 600 classes 2,785,498 instance segmentations on 350 classes 3,284,280 relationship annotations on 1,466 relationships 675,155 localized narratives 66,391,027 point-level annotations on 5,827 classes 61,404,966 image-level labels on 20,638 classes Extension - 478,000 crowdsourced images with 6,000+ classes

  • テクノロジー
  • 2018/05/01 09:41

  • dataset
  • *AI
  • image
  • google
  • detection
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  https://storage.googleapis.com/iraq-report-pdfs/060209.pdf

  3 users

  storage.googleapis.com

  • 政治と経済
  • 2018/04/18 04:24
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  https://storage.googleapis.com/imoz-jp/slides/160321_trading.pdf

  5 users

  storage.googleapis.com

  • テクノロジー
  • 2016/09/20 03:55

  • fx
  • money
  • 資料
  • プログラミング
  • programming
• あとで読む

  [PDF] The need for mobile speed

  3 users

  storage.googleapis.com

  • テクノロジー
  • 2016/09/18 15:04

  • web
  • performance
  • mobile
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  Mastering the Game of Go with Deep Neural Networks and Tree Search

  21 users

  storage.googleapis.com

  Mastering the Game of Go with Deep Neural Networks and Tree Search David Silver1 *, Aja Huang1 *, Chris J. Maddison1 , Arthur Guez1 , Laurent Sifre1 , George van den Driessche1 , Julian Schrittwieser1 , Ioannis Antonoglou1 , Veda Panneershelvam1 , Marc Lanctot1 , Sander Dieleman1 , Dominik Grewe1 , John Nham2 , Nal Kalchbrenner1 , Ilya Sutskever2 , Timothy Lillicrap1 , Madeleine Leach1 , Koray Ka

  • テクノロジー
  • 2016/01/28 07:23

  • 囲碁
  • google
  • deep learning
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• あとで読む

  https://storage.googleapis.com/g-design/static/product-sans-specimen.pdf

  7 users

  storage.googleapis.com

  • テクノロジー
  • 2015/09/02 20:53

  • Google
  • Font
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  http://storage.googleapis.com/bigquery-udf-test-tool/testtool.html

  5 users

  storage.googleapis.com

  • テクノロジー
  • 2015/08/26 10:25

  • BigQuery
• あとで読む

  https://storage.googleapis.com/support-kms-prod/SNP_3027140_ja_v1

  5 users

  storage.googleapis.com

  • 世の中
  • 2013/03/16 01:13

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