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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    1. Miguel Alonso Jr.‏ @miguelalonsojr 5 Jan 2019
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      Replying to @miguelalonsojr @Prof_FahadSaeed and

      Also found @mybinderteam. Seems like another alternative, although I haven't tried it either.https://blog.jupyter.org/binder-2-0-a-tech-guide-2017-fd40515a3a84 …

      1 reply 0 retweets 3 likes
    2. andrea panizza‏ @unsorsodicorda 5 Jan 2019
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      Replying to @miguelalonsojr @Prof_FahadSaeed and

      @mybinderteam is nice, but unlike @CodeOceanHQ or @GoogleColab it doesn't allow code to be run on a GPU.

      1 reply 1 retweet 1 like
    3. Fahad Saeed‏ @Prof_FahadSaeed 5 Jan 2019
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      Replying to @unsorsodicorda @miguelalonsojr and

      Yup! I totally forgot about that. @CodeOceanHQ allows us to run cpu gpu codes on their platform. Something desperately needed in machine learning if done correctly. You cannot do any scalability studies on it but can show that gpu code runs and produces a valid o/p for given data

      1 reply 0 retweets 2 likes
    4. Miguel Alonso Jr.‏ @miguelalonsojr 5 Jan 2019
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      Replying to @Prof_FahadSaeed @unsorsodicorda and

      Seems like there's some work to allow for binder to create containers with GPU support. https://github.com/betatim/basic-gpu-binder … I think I might look at both options and compare perf. @betatim can you shed some light on this?

      3 replies 0 retweets 1 like
    5. Chris Holdgraf‏ @choldgraf 5 Jan 2019
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      Replying to @miguelalonsojr @Prof_FahadSaeed and

      note that there's a big difference here, which is that http://mybinder.org  is simply a public deployment of BinderHub, which is FOSS and community-driven (stewarded by the Binder Project which is part of Jupyter). You can deploy your own BinderHub on whatever cloud you like

      1 reply 0 retweets 7 likes
    6. Chris Holdgraf‏ @choldgraf 5 Jan 2019
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      Replying to @choldgraf @miguelalonsojr and

      (as opposed to those two projects, which are primarily commercial services. there is no way to pay for http://mybinder.org , it's just a public service the project runs in order to highlight the tech)

      2 replies 1 retweet 1 like
    7. Chris Holdgraf‏ @choldgraf 5 Jan 2019
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      Replying to @choldgraf @miguelalonsojr and

      but, re: GPU we had a demo binderhub running on a Google Cloud cluster w/ GPUs on it for #NeurIPS2018 this year :-)

      2 replies 1 retweet 4 likes
    8. andrea panizza‏ @unsorsodicorda 5 Jan 2019
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      Replying to @choldgraf @miguelalonsojr and

      The demo was...a demo. If you plan to deploy it publicly,great, otherwise it doesn't change the fact that you can't run GPU code on https://mybinder.org/ . Let's not bash a free service only b/c it's owned by a private company: @googlecolab is free (I wouldn't even know how 1/

      3 replies 1 retweet 3 likes
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    10. Fahad Saeed‏ @Prof_FahadSaeed 5 Jan 2019
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      Replying to @ndrmnl @unsorsodicorda and

      So are we the academic twitterati going to have a consensus (and/or summary) or we just gonna let it hang in the discussion 😑😇

      1 reply 0 retweets 0 likes
      Prof. Anima Anandkumar‏ @AnimaAnandkumar 5 Jan 2019
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      Replying to @Prof_FahadSaeed @ndrmnl and

      I will summarize and append it to the blog post in a few days

      12:59 PM - 5 Jan 2019
      • 4 Likes
      • andrea panizza Tim Head Miguel Alonso Jr. Fahad Saeed
      2 replies 0 retweets 4 likes
        1. Fahad Saeed‏ @Prof_FahadSaeed 5 Jan 2019
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          Replying to @AnimaAnandkumar @ndrmnl and

          Excellent @AnimaAnandkumar thanks for doing this. It would be a great service for students and researchers alike 😇

          0 replies 1 retweet 3 likes
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        1. Prof. Anima Anandkumar‏ @AnimaAnandkumar 5 Jan 2019
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          Replying to @AnimaAnandkumar @Prof_FahadSaeed and

          With attribution of course..in case that wasn't clear.

          2 replies 0 retweets 3 likes
        2. Simon Adar‏ @SimonAdar 5 Jan 2019
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          Replying to @AnimaAnandkumar @Prof_FahadSaeed and

          It's worth pointing out capsules created on Code Ocean can be exported and run locally/on cluster using Docker and/or Binder. Our goal for the platform is a streamlined experience without sacrificing interoperability. Published capsules get a DOI and preserved with CLOCKSS

          1 reply 0 retweets 7 likes
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