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@Quansight @pystiche @PyTorch-Community-Voices @PyTorch-GitHub-Badge-Ecosystem-Day @PyTorch-DevDay2021 @nebari-dev
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pmeier/README.md

Hello fellow human 👋

I'm a scientific software engineer at Quansight working on PyTorch. I'm very active in the torchvision library and maintain the torchvision.datasets module there.

Outside of my work I have two major areas of interest:

  1. 🎨 Neural Style Transfer: During my research towards a PhD, I fell in love with Neural Style Transfer. I realized pretty soon that the available tooling is insufficient. Out of frustration with all the existing solutions, I wrote my own library for Neural Style Transfer based on PyTorch: pystiche.
  2. 💻 Developer Experience: Having worked on PyTorch and having written a library based on PyTorch I realized there are a few pain points for me. So I started some projects to make my life and hopefully everyone elses easier:
    • pytest-pytorch: PyTorch's test suite is only partially compatible with pytest. This is a small plugin to make them play ball.
    • light-the-torch: Installing pure Python libraries that depend on PyTorch is quite frustrating, since pip has no option to detect the available computation backends (CUDA, ROCm) and install the correct PyTorch binary. This is a small pip wrapper to make it happen.
  • 💬 Ask me about: Python, PyTorch, Neural Style Transfer
  • 📫 How to reach me: Open an issue in my personal repository. PyTorch is a very daunting project to contribute to. I'm happy to help to get you started.

Pinned

  1. pystiche/pystiche pystiche/pystiche Public

    Framework for Neural Style Transfer (NST) built upon PyTorch

    Python 267 28

  2. pystiche/papers pystiche/papers Public

    Reference implementation and replication of prominent NST papers

    Python 4 1

  3. light-the-torch light-the-torch Public

    Install PyTorch distributions with computation backend auto-detection

    Python 136 6

  4. tox-ltt tox-ltt Public

    Install PyTorch distributions with light-the-torch

    Python 4 1

  5. GMA_CI_2019_ssim_content_loss GMA_CI_2019_ssim_content_loss Public

    Source code for the paper "Content representation for Neural Style Transfer Algorithms based on Structural Similarity"

    Python

  6. dashboard dashboard Public