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  1. proslijedio/la je Tweet
    1. velj

    I feel like a lot of US citizens don’t quite get how hard it is to get an immigrant visa even if you are super qualified—many friends/family have struggled w the H1-B lottery or spent months applying for an O1 or got denied entry even though they have MIT degrees/great jobs/etc

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  2. proslijedio/la je Tweet
    28. sij

    Introducing the new Thinc, a refreshing functional take on deep learning! 🔮 Static type checking 🔥 Mix , & ⛓️ Integrated config system 🧮 Extensible backends incl. JAX (experimental) 🧬 Variable-length sequences & more

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  3. 25. sij

    I just tried this - quite a spectacular difference in terms of feed quality, would recommend!

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  4. proslijedio/la je Tweet
    21. sij

    If you have Notion content and you want to put it on your own domain, and serve it up fast and SEO optimised, check out Already seeing use for blogs, portfolios, wikis and docs!

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  5. proslijedio/la je Tweet
    20. sij

    City in Belgium halves the number of car journeys through the city, results in 17% increase in new restaurants and halts the decline in local shops. Cars kill the high street. Perverse but seems to be true again and again

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  6. 20. sij

    I found it! Turns out it was not as directly applicable as I remembered, but still a very interesting and deeply technical read:

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  7. 20. sij

    They had a cute solution of storing the vocab indices of words in the sentence as the representation, and then doing some small similarity computation on the fly in a very clever way.

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  8. 20. sij

    I read a blog ~2 months ago about search using contextual representations, specifically about scalability problems given the need to store vectors for words + a given context, but i've lost it. Does anyone know what i'm talking about?

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  9. 18. sij

    Trying to imagine how explosively an Italian would react to cacio e pepe with corn in it

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  10. 16. sij

    Embarrassed to be British, leaving the EU is the greatest political act of self harm that I will experience in my lifetime. Embarrassing. These people do not represent me

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  11. 13. sij

    🎉 has some new docs! 🎉 These are based on 's unbelievable FastAPI docs, with an additional auto-generated API section directly from allennlp's source. Built with 's great mkdocs-material template. Would recommend!

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  12. proslijedio/la je Tweet

    Speaking of our team, I just want to note that has been a majority female-run open-source project for quite some time ✊ Core devs: , Adriane (not on Twitter), & me. (Or put differently: we have more female NLP PhDs on our team than guys named Matt.)

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  13. proslijedio/la je Tweet

    This is our biggest release so far & I probably wrote the equivalent of a book in docs over the past few weeks 🤓✍️ 💕 2+ years of best practices & annotation/training tips. Even if you've been using the tool, there's lots of new stuff to discover!

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  14. 12. pro 2019.

    Also shout out to the wizardry of for building killer demo infrastructure at AI2 that allowed me to build and deploy this entire thing in a public facing demo in < 6 hours on Monday 🔥

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  15. 12. pro 2019.

    🎉 Scispacy, our library/pipeline for biomedical text processing, now has an public demo! 🎉 This builds heavily off 's great demo app, with additional Entity Linking and Specialized NER.

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  16. 11. pro 2019.

    This menu transition on 's website is 💯, shows how hard seamless UI design actually is

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  17. 3. pro 2019.

    The phrase “T-SNE-shirts” entered my lexicon today and I can’t stop thinking about how much potential there is there

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  18. proslijedio/la je Tweet

    $300 for a five minute ED visit. We even asked the insurance company what ED to go to. Turns out while the ED they recommended was in-plan, the doctor saw us was moonlighting and not in network. How the fuck were we supposed to know that?

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  19. proslijedio/la je Tweet

    Just added an Autocat model for our text classification example project (predict whether a GitHub issue title is about documentation). You can try it out live & pip install it directly from Autocat! 💝 Project & data: 🐱 Autocat:

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  20. proslijedio/la je Tweet
    27. stu 2019.

    Excited to announce our paper: Your Local GAN. Paper: Code: We obtain 14.53% FID ImageNet improvement on SAGAN by only changing the attention layer. We introduce a new sparse attention layer with 2-D locality. Thread: 1/n

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