RAPIDS AIOvjeren akaunt

@rapidsai

End to end collection of CUDA accelerated data science libraries built on , scaled with for ETL, ML, graph analytics, and DL preprocessing

Vrijeme pridruživanja: listopad 2018.

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  1. Prikvačeni tweet
    20. pro 2019.

    0.11 is here...more speed/scale/reliability. libcudf modernization, more MNMG models, -Py package, RAPIDS & , cloudprovider, for GPU monitoring, new logo & more! Cheers to 2020 from .

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  2. proslijedio/la je Tweet
    3. velj

    Spectrum Sensing Technology - A critical element for many radio frequency (RF) and wireless systems is the ability to receive, detect, and identify signals in the spectral environment.

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  3. proslijedio/la je Tweet
    prije 20 sati
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  4. proslijedio/la je Tweet
    3. velj

    Happening tomorrow. Cool way to learn about precision medicine / genetics / cancer, GPU data frames, and UMAP clustering ("uniform manifold approximation & projection"), chat w/ folks in the middle of it, and post-show, even try for yourself!

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  5. proslijedio/la je Tweet
    3. velj

    Reduce overhead & further improve your accelerated with Memory Manager in BlazingSQL! Check out our new blog post for more: ?

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  6. proslijedio/la je Tweet
    2. velj
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  7. proslijedio/la je Tweet
    31. sij

    . is the only place crazy enough to conceive of rendering 4K 60+ Hz graphics at home by running a neural network for every frame. DLSS: Trained in , running on the Tensor Cores in RTX GPUs, redefining graphics with AI. And we’re just getting started!

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  8. proslijedio/la je Tweet
    31. sij

    We are very happy to announce the release of Panel 0.8! This release brings huge performance improvements, support, improved JS linking, easier debugging, support for responsive & plots. All powered by

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  9. proslijedio/la je Tweet
    31. sij
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  10. proslijedio/la je Tweet

    Developer Blog: Learn how to use NVIDIA Nsight Systems in containers and the cloud. This is the fourth blog in a series of posts about the new Nsight family of tools.

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  11. proslijedio/la je Tweet
    31. sij

    It’s even “difficult to impossible” to parse 2FA codes texted to your phone. That’s why we’re researching and implementing flexible log parsing with NLP models, , , and .

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  12. proslijedio/la je Tweet
    31. sij

    Sparse Forests with FIL by Andrey Adinets

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  13. proslijedio/la je Tweet
    30. sij

    Love to see the amazing results achieved by my colleagues at the team of ! FIL is really awesome!

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  14. proslijedio/la je Tweet
    30. sij

    One of the best decisions we ever made Applied Deep Learning Research was to standardize on for all our research. It has made us more productive and made our work more fun. Glad to see agrees!

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  15. proslijedio/la je Tweet
    30. sij

    The response to the Forest Inference Library has been great to see, and it keeps improving with each release. Always fascinating to see how many teams out there are deploying random forests and GBDTs at huge scales (and how much they can reduce the load with FIL).

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  16. 30. sij

    40x faster predictions for even the deepest random forests with FIL’s new sparse forest support -

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  17. proslijedio/la je Tweet
    29. sij

    We’re excited to announce a new Anaconda product! Manage and secure open-source and in your organization with Anaconda Team Edition.

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  18. 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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  19. proslijedio/la je Tweet
    30. sij

    We’re so excited for the milestone the pandas team has reached with the release of 1.0 today!

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  20. proslijedio/la je Tweet
    30. sij

    Passionate about algorithms, software engineering, , , s? My team is looking for smart, driven C++ data analytics software interns.

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  21. proslijedio/la je Tweet
    29. sij

    The next Numba release (0.49) will be March 2020 as we do some some serious internal refactoring and cleanup. We've already deleted more than 7000 lines of code!

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