PyTorchLightning

@PyTorchLightnin

The lightweight PyTorch wrapper for AI Researchers. Scale your research. Write less boilerplate.

New York, NY
github.com/williamFalcon/…
Menyertai Ogos 2019
37 Foto atau video 37 Foto dan video Foto dan video

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  1. Tweet Dipinkan
    26 Feb

    You can now run code on TPUs and GPUs with Lightning... wait for it... WITHOUT CODE CHANGES!!! Retweet if this is useful to you!

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  2. 13 Jul

    Nice work! 🙌

    Autoencoder for anomaly detection. Built with and
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  3. 10 Jul

    Amazing work by and Zach Cain, led by our PM Eden . Excited to continue to push the frontier on accelerator integrations into PyTorch Lightning. And, amazing work by PyTorch and Google team behind XLA on which PyTorch Lightning TPU support is built on.

    Jirka, Lead contributor for Lightning, and Zach, ML Engineer at Google, discuss how PyTorch Lightning became the first ML framework to run continuous integration on TPUs in this blog post.
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  4. Mengetweet Semula
    9 Jul

    Michela Paganini, Postdoctoral Researcher, shares her personal experience creating a core PyTorch feature: Pruning (torch.nn.utils.prune). In this talk, you will learn about pruning, why it's important and how to get started:

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  5. 9 Jul

    just released a repository of COVID patients' clinical stats. B

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    🆕⚕️ We have published the clinical characteristics of 11,169 COVID-19 tested patients, all available on . We have also published notebooks for data preparation and exploration. Below you can see the fill rate for all variables included in the repo.
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  6. Mengetweet Semula
    8 Jul

    EasyOCR: Ready-to-use OCR with 40 languages

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  7. 7 Jul

    Great example of using PyTorch Lightning and torchtext! Productive NLP Experimentation with Python using Pytorch Lightning and Torchtext by Arie Pratama Sutiono in

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  8. Mengetweet Semula
    7 Jul

    : Today at 10am PT, we’ll be presenting our new, large-scale dynamic NLI dataset that's built by collecting adversarial examples against SoTA models with humans-and-model-in-the-loop. Learn more:

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  9. 6 Jul

    Welcome to PyTorch Lightning ! Excited to work with you.

    Really excited to start at tomorrow as a research engineer.
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  10. 3 Jul

    Neural Differential equation library by adds Continuous normalizing flows and energy-based Neural DEs.

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    [1/5] *torchdyn* goes generative! This new release adds continuous normalizing flows , energy-based Neural DEs , and extends existing support for higher-order variants. All powered by Lightning!
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  11. 1 Jul

    Distributed Deep Learning with Ansible, AWS and Pytorch Lightning. Part 1 by in

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  12. 1 Jul

    Metrics package overview by core member .

    PyTorch Lightning 0.8.4 now provides a Metrics package, for tens of common out of the box metrics (eg. ROC, PR, ConfusionMatrix, F1, etc.), along with a scikit-learn interface as well. Learn more:
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  13. 30 Jun

    We're excited to welcome the new Product Manager for PyTorch Lightning: Eden Afek () - Who joins Lightning after 5 years at Google as a software engineer. We're very excited to have her!

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  14. 30 Jun

    🧹

    controls almost everything via pl.Trainer, making the structure of my ongoing project neater
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  15. Mengetweet Semula
    19 Jun

    Virtual ICML 2020 Registration Fellowships (deadline July 2nd). Please apply and RT!

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  16. Mengetweet Semula
    26 Jun

    Yet another library (pyannote) is going to use . It looks like PyTorchLightning is going to consume every applied PyTorch package.

    Wow! was it 5,000 lines of boilerplate only?
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  17. 26 Jun

    Wow! was it 5,000 lines of boilerplate only?

    Screenshot of Github Pull Request
    Current status: converting pyannote․audio to Smaller, more readable codebase and (hopefully) faster training!
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  18. 25 Jun

    8bit faces upscaled into realistic face with PULSE

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    Membalas kepada @Rob__Milliken @h_bash
    With default settings, I got this result.
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  19. Mengetweet Semula
    24 Jun

    Self-Supervised Learning making strides in speech recognition. Wav2Vec 2.0 from FAIR uses a kind of contrastive SSL for pre-training. This is the first time an SSL system reaches the very best results on a number of different ASR tasks. 1/N

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  20. 24 Jun

    Image GPT implementation by . Using Lightning to train it on Fashion-MNIST on a single GPU in under 2 hours. Original paper:

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    Want to experiment with 's new Image GPT model without access to a massive GPU cluster? Check out my implementation, which can be trained on Fashion-MNIST in less than 2 hours on a single GPU: (thanks to )
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  21. 23 Jun

    Excellent overview of how PyTorch Lightning can help you iterate and scale faster.

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