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  1. proslijedio/la je Tweet
    4. velj

    "CNNs from different viewpoints" by . This is so awesome that we're including basically the entire thing in our upcoming book! Thanks so much Matt :)

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  2. 3. velj

    If I have access to a good (storage + compute), I'd like to build an model (at least a base one) using

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  3. 2. velj
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  4. 2. velj

    Update: According to a sample of around 4000 tracked by , around 16% have female founders who raised a little over 20% of the total venture capital. How does this compare with data? cc

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  5. 1. velj

    أحد عشر شيئا تستطيع فعلها بواسطة لغة البرمجة

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  6. proslijedio/la je Tweet
    30. sij

    Check out this tutorial: What Can I Do With Python? by

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  7. proslijedio/la je Tweet
    31. sij

    Supervised multimodal bitransformers now available in the awesome HuggingFace Transformers library!

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  8. proslijedio/la je Tweet
    31. sij

    Through this great story from James Briggs, a computational physicist turned data scientist, I came across his totally amazing deep learning notes, which are some of the best I've seen:

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  9. proslijedio/la je Tweet
    30. sij

    I started an issue to work on creating Bert for Arabic - AraBert. If you are interested please respond there.

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  10. 28. sij

    This is probably the full plan for the region called يبدو أن هذه هي خطة ترمب للمنطقة المسماة

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  11. proslijedio/la je Tweet
    27. sij

    Huge contribution to fast_template from : you can now write your blog posts in Word or Google Docs (including images), put them in the _word folder, and they'll appear in your blog! Nothing to install. No code to write. No ads. And its free.

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  12. proslijedio/la je Tweet
    27. sij
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  13. 27. sij
    Prikaži ovu nit
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  14. proslijedio/la je Tweet
    27. sij

    openpilot: Open Source Driver Assistance System

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  15. 27. sij

    Text classifier using model. It can tell if a given text is Qur'an, Hadith or Poetry. نموذج للغة العربية بـ يميز النص القرآني من الشعر والحديث

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  16. proslijedio/la je Tweet
    25. sij

    Check out our recent work on multilingual pretraining!

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  17. proslijedio/la je Tweet
    24. sij

    What happened this week in ’s tech sector? in bulk; new partnerships media; launches in ; expansions & restructuring in the business; & a rich reports selection for the weekend [EN] [AR]

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  18. proslijedio/la je Tweet
    22. sij

    Enjoyed the kNN-LM paper by Khandelwal and Levy et al. (2019). Using an interpolated non-parametric and parametric model, they set a SOTA on Wikitext, reducing perplexity by 2.9 points. This approach helps with predicting long-tail language predictions.

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  19. 22. sij

    التحليل العاطفي لتقييمات فنادق باللغة العربية باستخدام التعلم العميق.

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  20. proslijedio/la je Tweet
    21. sij

    Highly recommend 's Machine Learning Explainability course. One of the many gems in this course is the tutorial on SHAP and the accompanying code. Its a brief set of tutorials in notebooks, but very worthwhile:

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