Tivadar Danka

@TivadarDanka

deep learning engineer || working on enabling for everyone

Vrijeme pridruživanja: lipanj 2017.

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  1. Prikvačeni tweet
    23. lis 2019.

    A couple of months ago I have implemented a neural network from scratch in NumPy. Check out my new post outlining how to build a DIY framework, which grown out of this project!

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  2. prije 16 sati

    From the practical side, we often view machine learning as function fitting. However, there is a beautiful underlying statistical theory, illuminating a lots of seemingly mysterious concepts. This is my attempt to explain it simply:

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  3. 31. sij

    Writing my first lines in LaTeX after years of not using it at all, it feels like swimming: you never forget it, no matter how long break did you have.

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  4. proslijedio/la je Tweet
    30. sij
    Odgovor korisniku/ci

    Hey Susanna! I've been running such a database for 5 years now (7k+ entries)! It's so fun to peruse and also people use the data to advocate for higher stipends in their departments. I would love it if you would point people there! Thank you!

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  5. 30. sij

    Recently, I am working on moving machine learning models to production. So I made a detailed guide on how to do this properly! Instead of a minimal example, I demonstrate best practices with state of the art tools. Enjoy!

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  6. proslijedio/la je Tweet
    14. sij

    Come do a paid internship in Data Science at the Broad Institute!! With me! Full/part-time, up to 6 months. Undergrad/grad students, postdocs, even those employed are eligible - all you need are strong computational skills and a desire to apply them to biology!

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  7. proslijedio/la je Tweet
    13. sij

    I published a new article on the blog: Active Transfer Learning with PyTorch. Read about adapting Machine learning models with the knowledge that some data points will later get correct human labels, even if the model doesn't yet know the labels:

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  8. proslijedio/la je Tweet
    6. sij

    TorchIO from brings tools for - patch-based training and inference of 3D medical images - multiple transforms for data augmentation used in medical imaging He's looking for contributions and feedback

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  9. 2. sij

    As I am getting knee deep in my first serious web development project right now, I am beginning to realize how great Docker is. No more PostgreSQL setup. Ever. In fact, no more setup. Ever.

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

    Microscopy enthusiasts, come join my lab and sharpen your image analysis skills! Past alumni have gone on to lead image analysis efforts at Novartis, Pfizer, GSK as well as software engineering roles.

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  11. proslijedio/la je Tweet
    13. pro 2019.

    The Carpenter Lab @ the Broad Institute (Cambridge, MA, US) have a new open slot in the Postdoctoral Training Program in Bioimage Analysis. We're seeking bright, organized biological microscopists who want to learn to collaboratively make cutting-edge image analysis workflows.

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  12. 3. pro 2019.

    me, waking up at 6am: I'm so motivated, let's get some serious work done today! Ubuntu: it's the perfect time for a login loop

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  13. proslijedio/la je Tweet
    29. stu 2019.

    We are a bioinformatician to join our computational team - come be part of a growing group at the forefront of translational medicine, using powerful single-cell imaging and image analysis techniques to further drug development. More info here:

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  14. proslijedio/la je Tweet
    20. stu 2019.

    New paper out in with a brilliant list of co-authors! We propose the notion of to focus attention on domains in which may offer superior performance over traditional computers.

    , , i još njih 2
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  15. proslijedio/la je Tweet
    4. stu 2019.

    We are hiring people driven to engineer/advance machine intelligence at supercomputer scale in the heart of Oslo. Would appreciate if you could pass the message on. Also, feel free to get in touch, if you see yourself in this role .

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  16. proslijedio/la je Tweet
    30. lis 2019.

    4th NEUBIAS Conference – Bordeaux, France, Feb 29 - March 6, 2020 | Registration & abstracts Now Open -

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  17. proslijedio/la je Tweet
    23. lis 2019.

    Our preprint is out. With test time augmentation and deep learning we could further improve single cell segmentation. Reached an ~2% further gain on the kaggle Data Science Bowl.

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  18. 23. lis 2019.

    Addressing the requests and comments of Reviewer 2

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  19. 23. lis 2019.

    The quantum supremacy paper of is finally out! 90% 🤯, 10% 😱. Hope I'll be able to train convolutional networks on quantum computers soon, but can still keep my money in a bank account meanwhile 😎

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  20. 22. lis 2019.

    It is time to give recognition to method developers and maintainers in life sciences and bioinformatics. Time to stop the scientific elitism and shortsightedness.

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