Philipp Schmid

@_philschmid

👨🏻‍💻 Cloud & Machine Learning enthusiast 📍 Nürnberg | 🇩🇪 GER

Nürnberg
Vrijeme pridruživanja: lipanj 2019.

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  1. proslijedio/la je Tweet
    3. velj

    train_test_split every day all day creds:

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  2. proslijedio/la je Tweet
    3. velj

    Using Named Entity Recognition and and data from Chinese tweets, I built a map of accumulated cases of the . Check out my last blog post and stay tuned for a more interactive web app later:

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  3. proslijedio/la je Tweet
    10. sij

    Now that neural nets have fast implementations, a bottleneck in pipelines is tokenization: strings➡️model inputs. Welcome 🤗Tokenizers: ultra-fast & versatile tokenization led by : -encode 1GB in 20sec -BPE/byte-level-BPE/WordPiece/SentencePiece... -python/js/rust...

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  4. proslijedio/la je Tweet
    10. sij

    To those learning ML, You’ll see work from , FB + others and be amazed. You also might think, “there’s no way I could do that.” And get discouraged. How do I know? Because I think that. Remind yourself: - Learning takes time - You get worse before you get better

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  5. proslijedio/la je Tweet
    27. pro 2019.
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  6. proslijedio/la je Tweet
    27. stu 2019.

    I am very excited to be releasing my first article entitled "Fastai with🤗Transformers (BERT, RoBERTa, XLNet, XLM, DistilBERT)"! You will learn to combine SOTA NLP models from transformers with fastai. Special thanks to and for their inspiration!

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  7. 22. pro 2019.

    hi , wanted to test your finetuned 'xlm-roberta-large-finetuned-conll03-english' but i am getting an error. Am i missing something? 🤗🤗

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  8. 20. pro 2019.

    Hi heard your podcast on today. Is there a way to dm you? I want to talk about a topic you mentioned.

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  9. proslijedio/la je Tweet
    9. pro 2019.

    honestly refrigerator is not a bad guess

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  10. proslijedio/la je Tweet
    5. stu 2019.

    The 1.5 billion parameter GPT-2 (aka gpt2-xl) is up: ✅ in the transformers repo: ✅ try it out live in Write With Transformer🦄 Coming next: 🔘 Detector model based on RoBERTa Thanks and all

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  11. proslijedio/la je Tweet
    11. lis 2019.

    Let’s start with three days of hacking in the stadium of Nuremberg

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  12. proslijedio/la je Tweet
    4. lis 2019.

    Our Distilbert paper just got accepted at NeurIPS 2019's ECM2 workshop! - 40% smaller 60% faster than BERT - 97% of the performance on GLUE We also distilled GPT2 in an 82M params model💥 All the weights are available in TF2.0 here:

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  13. proslijedio/la je Tweet
    4. lis 2019.

    Learning is: - Available in abundance - Self-directed - A never ending journey But unless it comes with a certificate, most don’t participate. The best materials are becoming more and more available. It’s up you to find them and make something with what you learn.

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  14. proslijedio/la je Tweet
    1. lis 2019.

    The way a person leaves a company says a lot about their true nature.

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  15. 20. ruj 2019.

    Is there a way to run locally on k8s as test/dev enviroment?

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  16. proslijedio/la je Tweet

    iPhone 11, iPadOS and iOS 13: what’s new for PWAs and web development 🔥

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  17. proslijedio/la je Tweet
    27. lip 2019.

    I've put together some of my favourite machine learning, data science and AI learning resources! Some things I noticed: 1. There's a lot out there (all good). Pick 1-2 which suit your needs and go from there. 2. is incredible 🤯

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  18. 18. ruj 2019.

    Is there any compareable course for tensorflow 2.0 like from Jeremy Howard?

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  19. proslijedio/la je Tweet
    3. ruj 2019.

    5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python

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  20. proslijedio/la je Tweet

    TensorFlow 2.0.0-rc0 has been released! With a focus on simplicity and ease of use, this release features API simplification, easy model building with Keras, and more. See the full release notes for details on added features and changes ↓

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