Olivier Grisel

@ogrisel

Engineer at , scikit-learn developer supported by . Tweets about Python and Machine Learning / Deep Learning.

Paris, France
ogrisel.com
Vrijeme pridruživanja: kolovoz 2008.
180 fotografija ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    27. ožu 2017.

    Slides and notebooks for the deep learning course and I taught at recsys vision nlp

    8 replies 228 proslijeđenih tweetova 549 korisnika označava da im se sviđa
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  2. proslijedio/la je Tweet
    3. velj

    Reminder: the neocognitron was published in 1979!

    23 proslijeđena tweeta 102 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    31. sij

    Transformers 2.4.0 is out 🤗 - Training transformers from scratch is now supported - New models, including *FlauBERT*, Dutch BERT, *UmBERTo* - Revamped documentation - First multi-modal model, MMBT from , text & images Bye bye Python 2 🙃

    9 replies 196 proslijeđenih tweetova 736 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    30. sij

    Did you know that Breiman published both the bagging and random forest papers *after* he retired?!? (This is from our forthcoming book: )

    15 replies 111 proslijeđenih tweetova 658 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    30. sij

    Happy birthday !! Ten years from the first release and still young!

    26 proslijeđenih tweetova 162 korisnika označavaju da im se sviđa
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  6. proslijedio/la je Tweet
    29. sij

    Numba 0.48.0 has been released! This one comes shortly after 0.47.0 as we had many PRs that didn't make it in time. Quite a few bug fixes (including many CUDA fixes thanks to NVIDIA) and many new string methods contributed by Intel. More details:

    16 proslijeđenih tweetova 41 korisnik označava da mu se sviđa
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  7. 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.

    18 replies 956 proslijeđenih tweetova 2.408 korisnika označava da im se sviđa
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  8. 30. sij

    Direct link to the user survey:

    Help make better by filling in our user survey. It is only three questions long and contains a tip on how to use with RStudio. This small amount of feedback helps us a lot in figuring out what to prioritise!
    1 proslijeđeni tweet 3 korisnika označavaju da im se sviđa
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  9. proslijedio/la je Tweet
    29. sij

    Amazing work. PS: we're all so screwed.

    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:
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    16 replies 173 proslijeđena tweeta 798 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    29. sij

    10 PR already submitted and the first one just merged! Having fun at the Paris Sprint of the Decade!

    1 reply 8 proslijeđenih tweetova 31 korisnik označava da mu se sviđa
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  11. 29. sij

    In the mean time the Quick and Simple Text Selection extensions is a good language agnostic workaround for list, dict, set and strings:

    1 proslijeđeni tweet 4 korisnika označavaju da im se sviđa
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  12. 29. sij

    vscode-python users: please upvote the smart select support for Python code: . This would be helpful to refactor code without having to use the mouse to select structured code sections. Here is how it looks for Javascript code:

    15 proslijeđenih tweetova 36 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    28. sij

    If you're interested in becoming involved in my new project dabl , I tagged some easy first issues. Given that it's pretty early in the development, the barrier to entry should hopefully be much lower than in sklearn for example:

    10 replies 90 proslijeđenih tweetova 364 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    15. sij

    1/ New paper on an old topic: turns out, FGSM works as well as PGD for adversarial training!* *Just avoid catastrophic overfitting, as seen in picture Paper: Code: Joint work with and to be at

    63 proslijeđena tweeta 249 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    22. sij

    The quiet semisupervised revolution continues

    FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). Collaboration with Kihyuk Sohn, Nicholas Carlini
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    7 replies 221 proslijeđeni tweet 1.100 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    22. sij

    Happy to share some of the work and I have been putting in to do with on 1 billion rows.

    ML impossible: Train 1 billion samples in 5 minutes on your laptop using Vaex and Scikit-Learn
    21 proslijeđeni tweet 39 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    22. sij

    FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). Collaboration with Kihyuk Sohn, Nicholas Carlini

    5 replies 268 proslijeđenih tweetova 941 korisnik označava da mu se sviđa
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  18. proslijedio/la je Tweet
    21. sij

    This is a very interesting paper. It shows that a tweaked ResNet50 is about as accurate as EfficientNet-B4 but >3x faster. The EfficientNet paper measured FLOPS, which is a theoretical performance measure, rather than time, which is what actually matters.

    10 replies 188 proslijeđenih tweetova 658 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    17. sij

    Just in case anyone thinks that wind power forecasting is a solved problem: Here's the most recent UK national wind power forecast (in yellow) & actual (in red). That's a 4 GW error! More research definitely needed :) From

    7 replies 20 proslijeđenih tweetova 64 korisnika označavaju da im se sviđa
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  20. proslijedio/la je Tweet
    17. sij

    Thanks to *big* team effort, we released the code and the trained models from our LibriSpeech acoustic model architecture study and SOTA results here

    1 reply 57 proslijeđenih tweetova 216 korisnika označava da im se sviđa
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  21. proslijedio/la je Tweet
    17. sij

    Cool theory paper presenting a problem that: - can be efficiently learned by SGD with a DenseNet with x^2 nonlin, - cannot be efficiently learned by any kernel method, including NTK.

    1 reply 75 proslijeđenih tweetova 363 korisnika označavaju da im se sviđa
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