Sanny Kim

@sannykimchi

undergrad | was lucky to spend time with great people , , ,

San Francisco | Buenos Aires
sanny.kim
Vrijeme pridruživanja: listopad 2013.
52 fotografije ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    10. lip 2019.

    In this thread, I want to compile a list of Deep Learning resources 📚🎬 that some people might not be aware of. It’s amazing how organizations like , and and people like ,@pieterabbeel and have made these freely available 🎉👇

    416 proslijeđenih tweetova 1.286 korisnika označava da im se sviđa
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  2. proslijedio/la je Tweet
    prije 2 sata

    The biggest difference between statistics and machine learning may be in language! So a few months ago I created this (inspired by ) but haven't made much progress since. Welcoming suggestions for improvements

    9 replies 54 proslijeđena tweeta 192 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    3. velj

    In January, , , and I ran a short class at on topics we think are missing in most CS programs — tools we use every day that everyone should know, like bash, git, vim, and tmux. And now the lecture notes and videos are online!

    11 replies 307 proslijeđenih tweetova 926 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    3. velj

    The Missing Semester of Your CS Education (MIT course) ()

    2 proslijeđena tweeta 2 korisnika označavaju da im se sviđa
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  5. proslijedio/la je Tweet
    30. sij

    John Schulman's opinionated guide to ML research

    30 proslijeđenih tweetova 122 korisnika označavaju da im se sviđa
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  6. proslijedio/la je Tweet
    28. sij

    💥 Starting the 2020 edition of 's Deep Learning class with ~200 students! 🤩 This year we *will* end up with annotated ✏️ video recordings 🎥 and publishable lecture notes 📖, as we're putting the extra effort to renew 🌟 and reorganise 🧐 the material. – mjesto: NYU Courant Institute of Mathematical Sciences

    Korisnici , i
    19 replies 197 proslijeđenih tweetova 1.088 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    26. sij

    I talk to a lot of ML tooling companies (3 startups today!) and I've spent so much time building infra for ML production. I'm thinking of starting a monthly newsletter about ML production ecosystem but I'm not sure if the world needs another newsletter. What do you think?

    46 replies 30 proslijeđenih tweetova 364 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    25. sij

    This is a 9-Gigapixel image with 84 million stars of the Milky Way. The most beautiful thing you'll see today. (via ) "Whenever life gets you down, Mrs. Brown...just remember..."

    3 proslijeđena tweeta 8 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    22. sij

    Presenting: The most detailed map yet of the fruit fly brain. Janelia’s FlyEM team has traced the paths of some 25,000 neurons in the fruit fly brain and pinpointed the places where they connect. Now, all the data is available online for free.

    273 proslijeđena tweeta 585 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    20. sij

    I am contemplating a curriculum on deep learning in computational biology. What papers would you suggest? I'll include some obvious ones that spring to mind below. Please RT!

    25 replies 106 proslijeđenih tweetova 287 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    18. sij

    Open Syllabus Project Open Syllabus is a non-profit organization that maps the curriculum of higher education. Database of / stats from 7M class syllabi 👏

    12 replies 293 proslijeđena tweeta 1.268 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    16. sij

    last night i told jeffrey i wanted to open a pop-up called museum of breakfast so i could serve breakfasts from around the world and this morning he sent me posters he made for it :)

    9 replies 5 proslijeđenih tweetova 86 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    16. sij

    Really excited about this initiative for Independent Researchers and alike, by . Want to collaborate on research with the goal to publish, contact Night AI on hello@nightai.co !

    7 replies 49 proslijeđenih tweetova 243 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    16. sij

    How can we predict and control the collective behaviour of artificial agents? Classical game theory isn't much help when there are >2 agents. In our paper, we find markets impose useful structure on interactions between gradient-based learners:

    5 replies 159 proslijeđenih tweetova 507 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    15. sij

    I've started to upload the videos for the Neural Nets for NLP class here: We'll be uploading the videos regularly throughout the rest of the semester, so please follow the playlist if you're interested.

    2020 edition of CMU CS11-747 "Neural Networks for NLP", is starting tomorrow! We (co-teacher and 6 wonderful TAs) restructured it a bit to be more focused on "core concepts" used across a wide variety of applications. 1/2
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    82 proslijeđena tweeta 337 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    14. sij

    How To Train Interpretable Neural Networks That Accurately Extrapolate From Small Data. Today we released a new paper that showcases how to do just that using Scientific Machine Learning () techniques to encode non-data scientific information.

    5 replies 81 proslijeđeni tweet 231 korisnik označava da mu se sviđa
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  17. proslijedio/la je Tweet
    14. sij

    Mathematical Reasoning in Latent Space will be featured at . Multiple step reasoning can be performed on embedding vectors of mathematical formulas.

    63 proslijeđena tweeta 265 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    12. sij

    Learning about the Krebs cycle by seeing the enzymes involved just makes it so much more interesting for students. Not to mention a sense of scale from the cell zoom in!

    45 replies 1.509 proslijeđenih tweetova 5.189 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    12. sij

    Loving this trend of impressive new scientific sites. What else is in this vein? - : learn quantum computing - : learn ML - : interactive AI journal - : Medium for scientific publishing

    36 replies 587 proslijeđenih tweetova 2.615 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    12. sij

    The Case for Bayesian Deep Learning ”Bayesian or not, the prior will certainly be imperfect. Avoiding an important part of the modelling process because one has to make assumptions, however, will often be a worse alternative than an imperfect assumption.”

    127 proslijeđenih tweetova 543 korisnika označavaju da im se sviđa
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  21. proslijedio/la je Tweet
    11. sij

    A great, very detailed thread on . One clear takeaway neither (1) nor (2) has been done (yet?) by lings, cogsci, AI etc. (1) consensus/defn of what compositionality is [except in formal logic] (2) demo that cogn/lang is 'compositional' [relies on 1]

    Here's a thread surveying some 'classic' work on . Lots of people seem to be discussing this right now, but with partial references to the whole story. My aim is to highlight some of the philosophical and psychological issues in the history of the concept. 1/
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    5 proslijeđenih tweetova 27 korisnika označava da im se sviđa
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