Adam Paszke

@apaszke

Author of PyTorch. Machine Learning, Algorithmics, FP, Math. CS & Mathematics student at MIMUW.

Warsaw, Poland
github.com/apaszke
Vrijeme pridruživanja: rujan 2014.
11 fotografija ili videozapisa Fotografije i videozapisi

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  1. proslijedio/la je Tweet
    30. sij

    We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL):

    25 replies 549 proslijeđenih tweetova 1.920 korisnika označava da im se sviđa
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  2. proslijedio/la je Tweet
    29. sij

    Tensor / array library developers! Please save the date for the Tensor Developer Summit, March 19–20, . Registration opens soon.

    30 proslijeđenih tweetova 47 korisnika označava da im se sviđa
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  3. proslijedio/la je Tweet
    15. sij

    v1.4: customizable mobile builds, Distributed Model Parallelism via experimental RPC API, Java Bindings, Chaining LRSchedulers Summary: Release Notes: Last release for Python 2 (bye bye!)

    1 reply 148 proslijeđenih tweetova 377 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    16. pro 2019.

    Interested in open-source + work? is sponsoring 3 Fellowships to integrate and ! You'll be helping to make a reality! Apply Here:

    39 proslijeđenih tweetova 110 korisnika označava da im se sviđa
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  5. 6. pro 2019.

    After all those years we’ve finally put up a proper paper for PyTorch 😅 Thanks to all of you who have contributed to the community, through documentation, code, issues, requests, forum posts, talks, etc. It wouldn’t have been possible without you!

    The first full paper on after 3 years of development. It describes our goals, design principles, technical details uptil v0.4 Catch the poster at Authored by , et. al.
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    7 replies 26 proslijeđenih tweetova 297 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    4. pro 2019.

    [News] Preferred Networks (PFN) migrates its DL platform from Chainer to PyTorch. Chainer moves to maintenance support. PFN jointly works with Facebook and the OSS community to develop PyTorch. For more information, please look at the news release:

    235 proslijeđenih tweetova 457 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    4. pro 2019.

    Join , co-author & maintainer of , for the Dec 16 "PyTorch: A Modern Library for Machine Learning." moderates.

    4 proslijeđena tweeta 36 korisnika označava da im se sviđa
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  8. 22. stu 2019.

    Thomas has committed a number amazing changes to PyTorch, and has helped us immensely over the years. If you’re using PyTorch please consider either supporting his work or (if you’d like something more in return) hire him for a workshop or a feature you’d like to speed up!

    With my specialist PyTorch and ML training and consulting business picking up (yay, 🚀), I'm wondering whether hacking on PyTorch should be a past time or a part of the work week. Maybe crowdfunding can be part of the answer, so here is what I'm up to:
    1 reply 17 proslijeđenih tweetova 125 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    21. stu 2019.

    To help developers get started with PyTorch, we’re making the 'Deep Learning with PyTorch' book, written by Luca Antiga and Eli Stevens, available for free to the community:

    1.045 proslijeđenih tweetova 2.886 korisnika označava da im se sviđa
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  10. 7. stu 2019.

    My graduation is approaching rapidly, and that means that I’ll be able to work full-time soon. If you’re looking for someone excited about building next generation tools and infra for scientific computing (and ML) then let's talk! Note: remote and Europe only 🚀

    20 replies 22 proslijeđena tweeta 345 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    7. stu 2019.

    Join , co-author & maintainer of , for the Nov 21 "PyTorch: A Modern Library for Machine Learning." moderates.

    1 reply 17 proslijeđenih tweetova 36 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    24. lis 2019.

    I'm delighted to announce a Meetup in Munich with two awesome talks: Carla Gil and Adam Paszke will talk about doing things with and in PyTorch on November 15th.

    16 proslijeđenih tweetova 77 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    30. ruj 2019.

    it's coming together

    7 proslijeđenih tweetova 43 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    18. kol 2019.

    Our team at is recruiting! If you love PyTorch and are interested in working in deep learning compilers, automatic code generation or the PyTorch core, please apply: Also, send me a DM, if you want to talk about the positions! :)

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  15. proslijedio/la je Tweet
    10. kol 2019.

    The Global PyTorch Summer Hackathon is here! Calling developers and researchers to hack together packages, demos and applications on top of PyTorch and submit online. We'll help you reach the community, amplify your vision and have $60K in prizes!

    6 replies 104 proslijeđena tweeta 287 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    5. kol 2019.

    After over a year of development.... The ability to *train* a deep neural network in ...on *ENCRYPTED* data.... is finally here!!!

    Very *excited* to share our latest on Encrypted Training! It combines - networks - Multi-Party Computation - Autograd on encrypted data Trains on MNIST, data + model are encrypted Huge 🙏 to the crypto team of !
    11 replies 182 proslijeđena tweeta 801 korisnik označava da mu se sviđa
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  17. proslijedio/la je Tweet
    22. srp 2019.

    We’re excited to host a small PyTorch Summer Hackathon on August 8 to 9 in Menlo Park, CA! Space is the main limitation, apply to participate in-person and work on fun ML hacks.

    46 proslijeđenih tweetova 144 korisnika označavaju da im se sviđa
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  18. proslijedio/la je Tweet
    16. srp 2019.

    🥁🥁🥁 Welcome to "pytorch-transformers", the 👾 library for Natural Language Processing!

    8 replies 227 proslijeđenih tweetova 746 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    16. srp 2019.

    Pyro 0.3.4 is released! A flexible easyguide module, customizable autoguide initialization, more normalizing flows, new schedulers, faster HMM learning, and a redesigned MCMC interface. This is our last Python 2 compatible release.

    57 proslijeđenih tweetova 230 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    9. srp 2019.

    Our new paper on "Etalumis" accepted at the Conference (SC19) and nominated as Best Paper finalist---to be selected during conference.

    New paper: Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. , Shao, Bhimji, , Meadows, Liu, Munk, Naderiparizi, Gram-Hansen, , Ma, Zhao, Torr, Lee, , Prabhat, & Wood
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