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  1. proslijedio/la je Tweet
    prije 22 sata
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  2. proslijedio/la je Tweet
    3. velj

    Added ImageNet validation results for 164 pretrained models on several datasets, incl ImageNet-A, ImageNetV2, and Imagenet-Sketch. No surprise, models with exposure to more data do quite well. Without extra, EfficientNets are holding their own.

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  3. proslijedio/la je Tweet
    31. sij

    Why Random Forests can’t predict trends and how to overcome this problem. by

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  4. proslijedio/la je Tweet
    28. sij

    An update on the cheating scandal: Bestpetting has returned the $10,000 price money. The money will be donated to to fund their AI efforts.

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  5. proslijedio/la je Tweet
    25. sij

    Here is the first ever successful implementation of library in a kernel. It achieves 600X speedup of the kNN as compared to Great work by Chris Deotte.

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  6. proslijedio/la je Tweet
    25. sij

    BERT on steroids: Finetuning BERT for a dataset using pytorch and TPUs!

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    24. sij

    One of my tricks is to use pigeons for training. A bit tricky with the kernel competitions though, since Kaggle Docker has no preinstalled pigeons.

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  8. proslijedio/la je Tweet
    23. sij

    Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!

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  9. proslijedio/la je Tweet
    22. sij

    Spotify’s ‘Paved Road’ approach is music to our ears! 🎧🎶 Discover how utilizes TensorFlow Extended (TFX)'s components such as Data Validation to increase machine learning engineering productivity. Learn more here →

    (from left to right:) Google cloud logo, Kubeflow logo, TensorFlow logo
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  10. proslijedio/la je Tweet
    14. sij

    At medical imaging we often need to make a little data go a long way. One under-appreciated approach for this is self-supervised learning. It's almost magical! I've written a little overview to help you get started. Let me know if you try it :)

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  11. proslijedio/la je Tweet
    11. sij

    “Meet AdaMod: a new deep learning optimizer with memory” by Less Wright

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  12. proslijedio/la je Tweet
    10. sij
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  13. proslijedio/la je Tweet

    So everyone's talking about the SFV netcode being "fixed" on PC now and consequently broken on PS4. Here's a quick thread gathering all the info, looking at the code and explaining what "fixed" means, as well as what you need to know and do if you're on PC or PS4 to enjoy online.

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  14. proslijedio/la je Tweet
    9. sij

    alright. Let's explain the SFV latency bug again for the dozenth time: (1/5)

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  15. proslijedio/la je Tweet
    8. sij

    “If your combo won’t kill and will give the opponent instinct, drop that sucker and reset the bastard instead.” - William Shakespeare, 1583

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  16. proslijedio/la je Tweet
    7. sij

    I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.

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  17. proslijedio/la je Tweet
    2. sij

    “Logging in Tensorboard with PyTorch (or any other library)” by Branislav Holländer

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  18. proslijedio/la je Tweet
    2. sij

    A simple tutorial on Time Series forecasting, specifically aimed at demonstrating how boosting models can fail miserably for certain types of problem statements.

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  19. proslijedio/la je Tweet
    30. pro 2019.
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  20. proslijedio/la je Tweet

    A new paper has been making the rounds with the intriguing claim that YouTube has a *de-radicalizing* influence. Having read the paper, I wanted to call it wrong, but that would give the paper too much credit, because it is not even wrong. Let me explain.

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