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avibryant's profile
Avi Bryant
Avi Bryant
Avi Bryant
@avibryant

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Avi Bryant

@avibryant

Happiest when working on Random Forests from random beaches.

Galiano Island
avibryant.com
Joined November 2006

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    Avi Bryant‏ @avibryant May 23

    Avi Bryant Retweeted Avi Bryant

    Thread: this is out now. Please check it out and let me know what you think: https://github.com/stripe/rainier https://twitter.com/avibryant/status/997897942500425728 …

    Avi Bryant added,

    Avi Bryant @avibryant
    I'm super excited by how close we're getting to releasing some work I've been doing at Stripe on a static compute graph + bayesian inference library for Scala. Depending on your background, you might think of it as aspiring to be "TensorFlow for small data" or "Stan on the JVM".
    Show this thread
    3:15 PM - 23 May 2018
    • 39 Retweets
    • 115 Likes
    • Abhijit Doiphode Yog Mehta Golam Taimur Jonas 𝕄𝕚𝕠 Peadar Coyle Nick Vintila Vivitsu Maharaja
    7 replies 39 retweets 115 likes
      1. New conversation
      2. Avi Bryant‏ @avibryant May 23

        If you're interested in the functional bayesian inference API, you might want to start by reading this (and check out the sweet ASCII density plots):https://github.com/stripe/rainier/blob/master/docs/tour.md …

        1 reply 2 retweets 10 likes
        Show this thread
      3. Avi Bryant‏ @avibryant May 23

        If you're more excited about the high-performance static compute graph for small data in Scala, I just wrote this for you today:https://github.com/stripe/rainier/blob/master/docs/real.md …

        1 reply 0 retweets 5 likes
        Show this thread
      4. Avi Bryant‏ @avibryant May 23

        Either way you might be interested in some of the nitty gritty and design rationale here:https://github.com/stripe/rainier/blob/master/docs/impl.md …

        1 reply 0 retweets 5 likes
        Show this thread
      5. Avi Bryant‏ @avibryant May 23

        I'm extremely proud of this work, in large part because of how much I had to learn to do it. I still know so, so little about this field, and am hoping to keeping learning from y'all through this project.

        1 reply 0 retweets 18 likes
        Show this thread
      6. Avi Bryant‏ @avibryant May 23

        But a special shout out to @mioalter, @robanhk, and @gkossakowski who have already helped me up various steep hills on different dimensions of the learning manifold.

        1 reply 0 retweets 8 likes
        Show this thread
      7. Avi Bryant‏ @avibryant May 24

        I've created a Gitter room for Rainier at https://gitter.im/com_stripe_rainier/Lobby … . Join me there if you have questions.

        0 replies 1 retweet 2 likes
        Show this thread
      8. End of conversation
      1. marius eriksen‏ @marius Jun 1
        Replying to @avibryant

        This looks excellent, and the docs are fantastic!

        0 replies 0 retweets 3 likes
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      1. Aish Fenton‏ @aishfenton May 24
        Replying to @avibryant

        Very nice work !

        0 replies 0 retweets 1 like
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      1. Erik Erlandson‏ @manyangled May 23
        Replying to @avibryant

        Congratulations, looks really cool!

        0 replies 0 retweets 1 like
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      1. Chris Curtis‏ @curtosys May 23
        Replying to @avibryant

        Oh my. This looks very cool.

        0 replies 0 retweets 1 like
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      1. Robert Osazuwa Ness‏ @osazuwa Jul 27
        Replying to @avibryant

        Any plans to expand to discrete parameters?

        0 replies 0 retweets 0 likes
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      1. Rémi Louf  🛸‏ @remilouf May 24
        Replying to @avibryant

        Congratulations!

        0 replies 0 retweets 0 likes
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