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  1. proslijedio/la je Tweet
    30. sij

    Pandas 1.0 is here! * Read the release notes: * Read the blogpost reflecting on what 1.0 means to our project: * Install with conda / PyPI: Thanks to our 300+ contributors to this release.

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  2. proslijedio/la je Tweet
    12. sij
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  3. proslijedio/la je Tweet
    14. sij

    I think self-supervised learning is probably one of the most interesting, feasible & useful (and maybe a bit under-appreciated) approaches in deep learning

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  4. proslijedio/la je Tweet
    10. sij

    Hacking for with to enable distributed training. Hacking towards a Swift Federated Learning solution.

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  5. proslijedio/la je Tweet
    8. sij

    On my new year flight from Lima to SF, I wrote a blog post on the path from my previous job to the current one. TL;DR => it was an ocean of pain and experience obtained at was very useful 😀 If you like it => 50 claps. If not => 49 😀

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  6. 10. sij
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  7. 9. sij

    I just received a score of 134 (87th percentile) on the Machine Learning Fundamentals in Python assessment on DataCamp!

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  8. proslijedio/la je Tweet

    Jupiter shepherding the asteroid belt, preventing them falling in towards the inner planets!

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  9. proslijedio/la je Tweet

    pandas 0.1 was released on Dec 31 2009 pandas 1.0 is about to be released pandas 10 in 10 years? (2nd try :) )

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  10. proslijedio/la je Tweet
    14. pro 2019.

    's f-strings are amazingly fast! f'{s} {t}' # 78.2 ns s + ' ' + t # 104 ns ' '.join((s, t)) # 135 ns '%s %s' % (s, t) # 188 ns '{} {}'.format(s, t) # 283 ns Template('$s ').substitute(s=s, t=t) # 898 ns

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  11. proslijedio/la je Tweet
    21. stu 2019.

    To help developers get started with PyTorch, we’re making the 'Deep Learning with PyTorch' book, written by Luca Antiga and Eli Stevens, available for free to the community:

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  12. proslijedio/la je Tweet
    19. stu 2019.
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  13. proslijedio/la je Tweet
    8. lis 2019.

    SUPER EASY to create an object detection model with for no machine learning expertise required! Just drag in your training data and click train 😎

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  14. proslijedio/la je Tweet
    26. ruj 2019.

    🤗Transformers 2.0💥 State-of-the-art NLP in TensorFlow 2.0/PyTorch 8 architectures 33 trained models 102 lang. Seamlessly pick the right framework for training, eval, deploy Train on TPU ⏩ finetune/test in PyTorch ⏩ serve w. TFX 🍒Keras magic: train SOTA model in 10 lines👇

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  15. proslijedio/la je Tweet

    Researchers have developed a machine-learning system capable of deciphering lost languages.

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  16. proslijedio/la je Tweet

    You should never look down on anyone unless you fully understand them. And here's the thing: you can never fully understand anyone. We all have our traumas and our dreams and our battles that no one else knows about. So stay open-minded. And be kind.

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  17. 29. lip 2019.

    'Python List Comprehensions and Generator Expressions'

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  18. proslijedio/la je Tweet
    21. lip 2019.

    Great news - Tim and Denise from our team will be presenting at our very own webinar on 7/17 at 9AM PDT! Follow the link and sign up for "The PlaidML Tensor Compiler" to stay in the loop.

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  19. proslijedio/la je Tweet
    29. svi 2019.

    Ladies and Gentlemen, introducing the new -based Dell Precision 5540, 7540 and 7540 mobile workstations

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