Vinko Kodžoman

@Weenkus

Data Engineer at . Opinions are my own.

Los Angeles
Vrijeme pridruživanja: rujan 2010.
41 fotografija ili videozapis Fotografije i videozapisi

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  1. Prikvačeni tweet
    7. svi 2019.

    Things you’re probably not using in Python 3 – but should

    24 proslijeđena tweeta 21 korisnik označava da mu se sviđa
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  2. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

    i
    28 replies 629 proslijeđenih tweetova 1.787 korisnika označava da im se sviđa
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  3. proslijedio/la je Tweet
    28. sij

    Me explaining the execution order of my Jupyter notebook cells.

    330 proslijeđenih tweetova 2.576 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    23. sij

    Stardew Valley has sold over 10 million copies. It's strange & amazing to think back to when I was making this game in my bedroom w/ no clue if anyone would like it. Only 4 years ago! To everyone who has played this game, supported it, and made all of this possible: Thank you!!

    25.465 proslijeđenih tweetova 200.777 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    21. sij

    🚨New lecture series🚨 We've teamed up with to bring you the Deep Learning Lecture Series: 12 lectures covering a range of topics in Deep Learning - all led by DeepMind researchers, all free, and all open to everyone. Info & tickets:

    14 replies 480 proslijeđenih tweetova 1.330 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    15. sij

    We have 2 papers published in today! 🎉 One describes AlphaFold, which uses deep neural networks to predict protein structures with high accuracy. AlphaFold made the most accurate predictions at the 2018 scientific community assessment CASP13. 1/4

    15 replies 605 proslijeđenih tweetova 1.612 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    3. sij

    I'm biased here, but this is one of the strongest visual illusions I have ever seen. None of the colored lines are moving.

    75 replies 1.722 proslijeđena tweeta 4.664 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    29. pro 2019.

    After getting published in ICLR as an Independent Researcher, I have received nearly 100 messages from others who are looking to do the same. So I wrote a blog post on why I decided to do it and my advice to others.

    534 proslijeđena tweeta 1.671 korisnik označava da mu se sviđa
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  9. proslijedio/la je Tweet
    28. pro 2019.

    I decided to check out Reddit's r/TheWayWeWere and run a few pictures through my latest unreleased experimental DeOldify model. For those of you familiar with what render_factor is, I was running up to 120 here. I can go higher- same hardware as before! That helps with details.

    24 proslijeđena tweeta 216 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    28. pro 2019.

    My first technical blog: - finally published on 's Matplotblog! - talks in depth about how Figures, Axes and GridSpec work - code-driven, to-the-point. - wish I had this when I started.

    6 replies 100 proslijeđenih tweetova 486 korisnika označava da im se sviđa
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  11. 27. pro 2019.

    Finally got to updating "Things you’re probably not using in Python 3 – but should" post to reflect 3.8!

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  12. proslijedio/la je Tweet
    27. pro 2019.

    If you're using Transformers from source, we've rolled out 2 nice beta features (TBR in January) 💥Ultra-fast Bert/GPT2 tokenizers (up to 80x faster) 🦄Easy/versatile sequence generation for generative models: top-k/nucleus/temperature sampling, penalized/greedy, beam search...

    12 replies 97 proslijeđenih tweetova 442 korisnika označavaju da im se sviđa
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  13. 24. pro 2019.

    I have been enjoying using for the past several days, sadly it does not support GPUs, basically making it a no-go for most deep learning use cases.

    1 korisnik označava da mu se sviđa
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  14. proslijedio/la je Tweet
    21. pro 2019.

    interps

    20 replies 459 proslijeđenih tweetova 2.243 korisnika označavaju da im se sviđa
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  15. proslijedio/la je Tweet
    20. pro 2019.

    ALBERT is a new, open-source architecture for natural language processing that achieves state-of-the-art performance on multiple benchmarks with ~30% fewer parameters than . Learn all about it below:

    10 replies 557 proslijeđenih tweetova 1.578 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    18. ožu 2019.

    How the arcade-like car controller was made; big sphere rolling around, car model just copies position. Raycast down to find ground normal for car. Sphere gets force based on car model direction. Tilt/wheel turning/etc. all lerps.

    60 replies 686 proslijeđenih tweetova 3.797 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    17. pro 2019.

    ImageNet accuracy by year 2012: 0.633 (AlexNet) 2013: 0.663 (Five Base + Five HiRes) 2014: 0.745 (VGG-19) 2015: 0.788 (Inception V3) 2016: 0.823 (ResNeXt) 2017: 0.829 (PNASNet-5) 2018: 0.854 (ResNeXt) 2019: 0.874 (EfficientNet-L2)

    1 reply 142 proslijeđena tweeta 463 korisnika označavaju da im se sviđa
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  18. proslijedio/la je Tweet
    17. pro 2019.

    🔥🔥Series A!!🔥🔥 Extremely excited to share the news with you and so in awe of what we have built with the community over the past few months!! 🧡 We really are JUST GETTING STARTED!!🚀 Also, we are hiring!!

    Hugging Face raises $15 million to build the definitive natural language processing library by
    31 reply 74 proslijeđena tweeta 700 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    13. pro 2019.

    We're releasing "Dota 2 with Large Scale Deep Reinforcement Learning", a scientific paper analyzing our findings from our 3-year Dota project: One highlight — we trained a new agent, Rerun, which has a 98% win rate vs the version that beat .

    608 proslijeđenih tweetova 1.776 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    11. pro 2019.

    Twitter is funding a small independent team of up to five open source architects, engineers, and designers to develop an open and decentralized standard for social media. The goal is for Twitter to ultimately be a client of this standard. 🧵

    2.165 replies 14.712 proslijeđenih tweetova 52.011 korisnika označava da im se sviđa
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  21. proslijedio/la je Tweet
    3. pro 2019.

    We introduce LOGAN, a game-theory motivated algorithm, which improves the state-of-the-art in GAN image generation by over 30% measured in FID: Here are samples showing higher diversity:

    13 replies 381 proslijeđeni tweet 1.092 korisnika označavaju da im se sviđa
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