Florian Huber

@me_datapoint

generalist | data scientist | biological physicist | theoretical chocolatier | research software engineer | living data point

Amsterdam, NL
Vrijeme pridruživanja: veljača 2014.

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  1. Prikvačeni tweet
    5. sij

    2020 - and AI has still not taken over! This not only means that I will go back to work tomorrow, but also that the rapid growth in machine-learning has still little to do with actual human-type intelligence. Here my new blog post: Happy 2020 everybody!

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  2. proslijedio/la je Tweet
    prije 17 sati

    The 📢 Call for Contributions for (2nd Intl. Conf. for in 🇩🇪, 25-27 Aug, Jena) is now open 🎉: ! ⏲️ Deadline: 01 Apr (workshops) / 15 Apr (others). Care about ? This conference is for you! (SD)

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  3. proslijedio/la je Tweet
    24. sij

    Nice presentation of Niala den Braber about the results of our group on diabetes type 2 data from the Dialect ZGT study that have been analysed during this machine learning week at the eScience center

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  4. proslijedio/la je Tweet
    28. sij

    One week left to apply for free mentoring in bringing your scientific codes onto the GPU! Come join us in Berlin from March 9-13 for the GPU Hackathon powered by the Software team, , and . More at

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  5. proslijedio/la je Tweet
    27. sij
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  6. proslijedio/la je Tweet
    27. sij

    Want to get started with Reproducible and Open Research? Register for the workshop on 11-12 Feb, 2020 in Utrecht. The introduces the challenges in reproducibility and transparent, reproducible and open research principles.

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  7. proslijedio/la je Tweet
    24. sij

    Learned so much this week in the Machine Learning workshop! Major thanks to for organizing and , as well as for teaching us! w/ and experts and

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  8. proslijedio/la je Tweet
    24. sij
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  9. proslijedio/la je Tweet
    24. sij

    A snapshot from the inspiring workshop on Machine Learning for Research. Organised by Florian Huber - eScience Center with support from

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  10. 22. sij

    Getting up to speed with generative models thanks to from , giving a talk at !

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  11. proslijedio/la je Tweet
    21. sij

    What a lovely project: concise, effective and to the point - judging from the docs. Can’t wait to try.

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  12. 21. sij

    Great talk by on (issues with) accessing uncertainty when using . Very valuable contribution to .

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  13. proslijedio/la je Tweet
    20. sij

    On the way back home after a very inspiring first day of the machine learning workshop week at the in Amsterdam . We have a nice dataset on diabetes but we keep realistic ;-)

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  14. 20. sij

    Maxwell Cai from giving a great introduction to for our workshop .

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  15. proslijedio/la je Tweet
    20. sij

    Kicking off the week with Director Joris van Eijnatten and Florian Huber opening the one week Machine-Learning for research workshop

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  16. 20. sij

    Really looking forward to work with an exciting, diverse range of people, research projects, and data. Teams from humanities, medicine, life sciences, and earth science! We'll keep you posted.

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  17. 20. sij

    We have selected 6 teams to work with us at during our 1-week applied workshop "Machine-Learning for Research"-> Thanks for all support from ! Now we are ready to explore how can help with some exciting research projects.

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  18. 12. sij

    I am certainly no expert in . But that I can still harvest raspberries on my balcony (in the ) in mid-January feels incredibly weird! Realized that I mentally started collecting things I can later tell my kids about the time before ...

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  19. proslijedio/la je Tweet
    7. sij

    Warning: slightly out of control narrative about GPT-2 & chess spreading rapidly! - system has not properly induced rules; serious problems sticking to legal moves - relies heavily on large opening library - failures in keeping track of state akin to my NeurIPS talk (ex. below)

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  20. proslijedio/la je Tweet
    7. sij

    If you’re a programmer using Python and you need more performance, should you move to a different language? No need, say and , who in their latest blog post show how you can turn Python into a parallel number-crunching powerhouse. ?

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